.. _options:

Configuring SimGrid
===================

.. raw:: html

   <object id="TOC" data="graphical-toc.svg" type="image/svg+xml"></object>
   <script>
   window.onload=function() { // Wait for the SVG to be loaded before changing it
     var elem=document.querySelector("#TOC").contentDocument.getElementById("ConfigBox")
     elem.style="opacity:0.93999999;fill:#ff0000;fill-opacity:0.1;stroke:#000000;stroke-width:0.35277778;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-dashoffset:0;stroke-opacity:1";
   }
   </script>
   <br/>
   <br/>

A number of options can be given at runtime to change the default
SimGrid behavior. For a complete list of all configuration options
accepted by the SimGrid version used in your simulator, simply pass
the --help configuration flag to your program. If some of the options
are not documented on this page, this is a bug that you should please
report so that we can fix it. Note that some of the options presented
here may not be available in your simulators, depending on the
:ref:`compile-time options <install_src_config>` that you used.

Setting Configuration Items
---------------------------

There is several way to pass configuration options to the simulators.
The most common way is to use the ``--cfg`` command line argument. For
example, to set the item ``Item`` to the value ``Value``, simply
type the following on the command-line:

.. code-block:: console

   $ my_simulator --cfg=Item:Value (other arguments)

Several ``--cfg`` command line arguments can naturally be used. If you
need to include spaces in the argument, don't forget to quote the
argument. You can even escape the included quotes (write ``@'`` for ``'`` if
you have your argument between simple quotes).

Another solution is to use the ``<config>`` tag in the platform file. The
only restriction is that this tag must occur before the first
platform element (be it ``<zone>``, ``<cluster>``, ``<peer>`` or whatever).
The ``<config>`` tag takes an ``id`` attribute, but it is currently
ignored so you don't really need to pass it. The important part is that
within that tag, you can pass one or several ``<prop>`` tags to specify
the configuration to use. For example, setting ``Item`` to ``Value``
can be done by adding the following to the beginning of your platform
file:

.. code-block:: xml

  <config>
    <prop id="Item" value="Value"/>
  </config>

A last solution is to pass your configuration directly in your program
with :cpp:func:`simgrid::s4u::Engine::set_config`.

.. code-block:: cpp

   #include <simgrid/s4u.hpp>

   int main(int argc, char *argv[]) {
     simgrid::s4u::Engine e(&argc, argv);

     simgrid::s4u::Engine::set_config("Item:Value");

     // Rest of your code
   }

.. _options_list:

Existing Configuration Items
----------------------------

.. note::
  The full list can be retrieved by passing ``--help`` and
  ``--help-cfg`` to an executable that uses SimGrid. Try passing
  ``help`` as a value to get the list of values accepted by a given
  option. For example, ``--cfg=plugin:help`` will give you the list
  of plugins available in your installation of SimGrid.

- **bmf/max-iterations:** :ref:`cfg=bmf/max-iterations`
- **bmf/precision:** :ref:`cfg=bmf/precision`

- **contexts/factory:** :ref:`cfg=contexts/factory`
- **contexts/guard-size:** :ref:`cfg=contexts/guard-size`
- **contexts/nthreads:** :ref:`cfg=contexts/nthreads`
- **contexts/stack-size:** :ref:`cfg=contexts/stack-size`
- **contexts/synchro:** :ref:`cfg=contexts/synchro`

- **cpu/maxmin-selective-update:** :ref:`Cpu Optimization Level <options_model_optim>`
- **cpu/model:** :ref:`options_model_select`
- **cpu/optim:** :ref:`Cpu Optimization Level <options_model_optim>`

- **debug/breakpoint:** :ref:`cfg=debug/breakpoint`
- **debug/clean-atexit:** :ref:`cfg=debug/clean-atexit`
- **debug/fullstack:** :ref:`cfg=debug/fullstack`
- **debug/lmm-leaks:** :ref:`cfg=debug/lmm-leaks`
- **debug/verbose-exit:** :ref:`cfg=debug/verbose-exit`

- **exception/cutpath:** :ref:`cfg=exception/cutpath`

- **host/model:** :ref:`options_model_select`

- **maxmin/concurrency-limit:** :ref:`cfg=maxmin/concurrency-limit`

- **model-check:** :ref:`options_modelchecking`
- **model-check/communications-determinism:** :ref:`cfg=model-check/communications-determinism`
- **model-check/cached-states-interval:** :ref:`cfg=model-check/cached-states-interval`
- **model-check/dot-output:** :ref:`cfg=model-check/dot-output`
- **model-check/max-depth:** :ref:`cfg=model-check/max-depth`
- **model-check/max-errors:** :ref:`cfg=model-check/max-errors`
- **model-check/no-fork:** :ref:`cfg=model-check/no-fork`
- **model-check/reduction:** :ref:`cfg=model-check/reduction`
- **model-check/replay:** :ref:`cfg=model-check/replay`
- **model-check/search-critical:** :ref:`cfg=model-check/search-critical`
- **model-check/send-determinism:** :ref:`cfg=model-check/send-determinism`
- **model-check/setenv:** :ref:`cfg=model-check/setenv`
- **model-check/strategy:** :ref:`cfg=model-check/strategy`
- **model-check/timeout:** :ref:`cfg=model-check/timeout`
- **model-check/timeout-soft:** :ref:`cfg=model-check/timeout-soft`

- **network/bandwidth-factor:** :ref:`cfg=network/bandwidth-factor`
- **network/crosstraffic:** :ref:`cfg=network/crosstraffic`
- **network/latency-factor:** :ref:`cfg=network/latency-factor`
- **network/loopback-lat:** :ref:`cfg=network/loopback`
- **network/loopback-bw:** :ref:`cfg=network/loopback`
- **network/maxmin-selective-update:** :ref:`Network Optimization Level <options_model_optim>`
- **network/model:** :ref:`options_model_select`
- **network/optim:** :ref:`Network Optimization Level <options_model_optim>`
- **network/TCP-gamma:** :ref:`cfg=network/TCP-gamma`
- **network/weight-S:** :ref:`cfg=network/weight-S`

- **ns3/TcpModel:** :ref:`options_pls`
- **ns3/seed:** :ref:`options_pls`
- **path:** :ref:`cfg=path`
- **plugin:** :ref:`cfg=plugin`

- **storage/max_file_descriptors:** :ref:`cfg=storage/max_file_descriptors`

- **precision/timing:** :ref:`cfg=precision/timing`
- **precision/work-amount:** :ref:`cfg=precision/work-amount`

- **For collective operations of SMPI,** please refer to Section :ref:`cfg=smpi/coll-selector`
- **smpi/auto-shared-malloc-thresh:** :ref:`cfg=smpi/auto-shared-malloc-thresh`
- **smpi/async-small-thresh:** :ref:`cfg=smpi/async-small-thresh`
- **smpi/barrier-finalization:** :ref:`cfg=smpi/barrier-finalization`
- **smpi/barrier-collectives:** :ref:`cfg=smpi/barrier-collectives`
- **smpi/buffering:** :ref:`cfg=smpi/buffering`
- **smpi/coll-selector:** :ref:`cfg=smpi/coll-selector`
- **smpi/comp-adjustment-file:** :ref:`cfg=smpi/comp-adjustment-file`
- **smpi/cpu-threshold:** :ref:`cfg=smpi/cpu-threshold`
- **smpi/display-allocs:** :ref:`cfg=smpi/display-allocs`
- **smpi/display-timing:** :ref:`cfg=smpi/display-timing`
- **smpi/errors-are-fatal:** :ref:`cfg=smpi/errors-are-fatal`
- **smpi/grow-injected-times:** :ref:`cfg=smpi/grow-injected-times`
- **smpi/host-speed:** :ref:`cfg=smpi/host-speed`
- **smpi/IB-penalty-factors:** :ref:`cfg=smpi/IB-penalty-factors`
- **smpi/iprobe:** :ref:`cfg=smpi/iprobe`
- **smpi/iprobe-cpu-usage:** :ref:`cfg=smpi/iprobe-cpu-usage`
- **smpi/init:** :ref:`cfg=smpi/init`
- **smpi/keep-temps:** :ref:`cfg=smpi/keep-temps`
- **smpi/ois:** :ref:`cfg=smpi/ois`
- **smpi/or:** :ref:`cfg=smpi/or`
- **smpi/os:** :ref:`cfg=smpi/os`
- **smpi/papi-events:** :ref:`cfg=smpi/papi-events`
- **smpi/pedantic:** :ref:`cfg=smpi/pedantic`
- **smpi/privatization:** :ref:`cfg=smpi/privatization`
- **smpi/privatize-libs:** :ref:`cfg=smpi/privatize-libs`
- **smpi/send-is-detached-thresh:** :ref:`cfg=smpi/send-is-detached-thresh`
- **smpi/shared-malloc:** :ref:`cfg=smpi/shared-malloc`
- **smpi/shared-malloc-hugepage:** :ref:`cfg=smpi/shared-malloc-hugepage`
- **smpi/simulate-computation:** :ref:`cfg=smpi/simulate-computation`
- **smpi/test:** :ref:`cfg=smpi/test`
- **smpi/wtime:** :ref:`cfg=smpi/wtime`
- **smpi/list-leaks** :ref:`cfg=smpi/list-leaks`

- **Tracing configuration options** can be found in Section :ref:`tracing_tracing_options`

- **storage/model:** :ref:`options_model_select`

- **vm/model:** :ref:`options_model_select`

.. _options_model:

Configuring the Platform Models
-------------------------------

.. _options_model_select:

Choosing the Platform Models
............................

SimGrid comes with several network, CPU and disk models built in,
and you can change the used model at runtime by changing the passed
configuration. The three main configuration items are given below.
For each of these items, passing the special ``help`` value gives you
a short description of all possible values (for example,
``--cfg=network/model:help`` will present all provided network
models). Also, ``--help-models`` should provide information about all
models for all existing resources.

- ``network/model``: specify the used network model. Possible values:

  - **LV08 (default one):** Realistic network analytic model
    (slow-start modeled by multiplying latency by 13.01, bandwidth by
    .97; bottleneck sharing uses a payload of S=20537 for evaluating
    RTT). Presented in :ref:`the relevant section<understanding_lv08>`.
  - **Constant:** Simplistic network model where all communication
    take a constant time (one second). This model provides the lowest
    realism, but is (marginally) faster.
  - **SMPI:** Realistic network model specifically tailored for HPC
    settings (accurate modeling of slow start with correction factors on
    three intervals: < 1KiB, < 64 KiB, >= 64 KiB). This model can be
    :ref:`further configured <options_model_network>`.
  - **IB:** Realistic network model specifically tailored for HPC
    settings with InfiniBand networks (accurate modeling contention
    behavior, based on the model explained in `this PhD work
    <http://mescal.imag.fr/membres/jean-marc.vincent/index.html/PhD/Vienne.pdf>`_.
    This model can be :ref:`further configured <options_model_network>`.
  - **CM02:** Legacy network analytic model. Very similar to LV08, but
    without corrective factors. The timings of small messages are thus
    poorly modeled. Presented in :ref:`the relevant section<understanding_cm02>`.
  - **ns-3** (only available if you compiled SimGrid accordingly):
    Use the packet-level network
    simulators as network models (see :ref:`models_ns3`).
    This model can be :ref:`further configured <options_pls>`.

- ``cpu/model``: specify the used CPU model.  We have only one model for now:

  - **Cas01:** Simplistic CPU model (time=size/speed)

- ``host/model``: we have two such models for now. 

  - **default:** Default host model. It simply uses the otherwise configured models for cpu, disk and network (i.e. CPU:Cas01,
    disk:S19 and network:LV08 by default)
  - **ptask_L07:** This model is mandatory if you plan to use parallel tasks (and useless otherwise). ptasks are intended to
    model the moldable tasks of the grid scheduling literature. A specific host model is necessary because each such activity
    has a both compute and communicate components, so the CPU and network models must be mixed together.

- ``storage/model``: specify the used storage model. Only one model is
  provided so far.
- ``vm/model``: specify the model for virtual machines. Only one model
  is provided so far.

.. todo: make 'compound' the default host model.

.. _options_model_solver:

Solver
......

The different models rely on a linear inequalities solver to share
the underlying resources. SimGrid allows you to change the solver, but
be cautious, **don't change it unless you are 100% sure**.

  - items ``cpu/solver``, ``network/solver``, ``disk/solver`` and  ``host/solver``
    allow you to change the solver for each model:

    - **maxmin:** The default solver for all models except ptask. Provides a
      max-min fairness allocation.
    - **fairbottleneck:** The default solver for ptasks. Extends max-min to
      allow heterogeneous resources.
    - **bmf:** More realistic solver for heterogeneous resource sharing.
      Implements BMF (Bottleneck max fairness) fairness. To be used with
      parallel tasks instead of fair-bottleneck.

.. _options_model_optim:

Optimization Level
..................

The network and CPU models that are based on linear inequalities solver (that
is, all our analytical models) accept specific optimization
configurations.

  - items ``network/optim`` and ``cpu/optim`` (both default to 'Lazy'):

    - **Lazy:** Lazy action management (partial invalidation in lmm +
      heap in action remaining).
    - **TI:** Trace integration. Highly optimized mode when using
      availability traces (only available for the Cas01 CPU model for
      now).
    - **Full:** Full update of remaining and variables. Slow but may be
      useful when debugging.

  - items ``network/maxmin-selective-update`` and
    ``cpu/maxmin-selective-update``: configure whether the underlying
    should be lazily updated or not. It should have no impact on the
    computed timings, but should speed up the computation. |br| It is
    still possible to disable this feature because it can reveal
    counter-productive in very specific scenarios where the
    interaction level is high. In particular, if all your
    communication share a given backbone link, you should disable it:
    without it, a simple regular loop is used to update each
    communication. With it, each of them is still updated (because of
    the dependency induced by the backbone), but through a complicated
    and slow pattern that follows the actual dependencies.

.. _cfg=bmf/precision:
.. _cfg=precision/timing:
.. _cfg=precision/work-amount:

Numerical Precision
...................

**Option** ``precision/timing`` **Default:** 1e-9 (in seconds) |br|
**Option** ``precision/work-amount`` **Default:** 1e-5 (in flops or bytes) |br|
**Option** ``bmf/precision`` **Default:** 1e-12 (no unit)

The analytical models handle a lot of floating point values. It is
possible to change the epsilon used to update and compare them through
this configuration item. Changing it may speedup the simulation by
discarding very small actions, at the price of a reduced numerical
precision. You can modify separately the precision used to manipulate
timings (in seconds) and the one used to manipulate amounts of work
(in flops or bytes).

.. _cfg=maxmin/concurrency-limit:

Concurrency Limit
.................

**Option** ``maxmin/concurrency-limit`` **Default:** -1 (no limit)

The maximum number of variables per resource can be tuned through this
option. You can have as many simultaneous actions per resources as you
want. If your simulation presents a very high level of concurrency, it
may help to use e.g. 100 as a value here. It means that at most 100
actions can consume a resource at a given time. The extraneous actions
are queued and wait until the amount of concurrency of the considered
resource lowers under the given boundary.

Such limitations help both to the simulation speed and simulation accuracy
on highly constrained scenarios, but the simulation speed suffers of this
setting on regular (less constrained) scenarios so it is off by default.

.. _cfg=bmf/max-iterations:

BMF settings
............

**Option** ``bmf/max-iterations`` **Default:** 1000

It may happen in some settings that the BMF solver fails to converge to
a solution, so there is a hard limit on the amount of iteration count to
avoid infinite loops.

.. _options_model_network:

Configuring the Network Model
.............................

.. _cfg=network/TCP-gamma:

Maximal TCP Window Size
^^^^^^^^^^^^^^^^^^^^^^^

**Option** ``network/TCP-gamma`` **Default:** 4194304

The analytical models need to know the maximal TCP window size to take the TCP congestion mechanism into account (see
:ref:`this page <understanding_cm02>` for details). On Linux, this value can be retrieved using the following commands.
Both give a set of values, and you should use the last one, which is the maximal size.

.. code-block:: console

   $ cat /proc/sys/net/ipv4/tcp_rmem # gives the sender window
   $ cat /proc/sys/net/ipv4/tcp_wmem # gives the receiver window

If you want to disable the TCP windowing mechanism, set this parameter to 0.

.. _cfg=network/bandwidth-factor:
.. _cfg=network/latency-factor:
.. _cfg=network/weight-S:

Manual calibration factors
^^^^^^^^^^^^^^^^^^^^^^^^^^

SimGrid can take network irregularities such as a slow startup or changing behavior depending on the message size into account.
The values provided by default were computed a long time ago through data fitting one the timings of either packet-level
simulators or direct experiments on real platforms. These default values should be OK for most users, but if simulation realism
is really important to you, you probably want to recalibrate the models (i.e., devise sensible values for your specific
settings). This section only describes how to pass new values to the models while the calibration process involved in the
computation of these values is described :ref:`in the relevant chapter <models_calibration>`.

We found out that many networking effects can be realistically accounted for with the three following correction factors. They
were shown to be enough to capture slow-start effects, the different transmission modes of MPI systems (eager vs. rendez-vous
mode), or the non linear effects of wifi sharing.

**Option** ``network/latency-factor`` **Default:** 1.0, but overridden by most models

This option specifies a multiplier to apply to the *physical* latency (i.e., the one described in the platform) of the set of
links involved in a communication. The factor can either be a constant to apply to any communication, or it may depend on the
message size. The ``CM02`` model does not use any correction factor, so the latency-factor remains to 1. The ``LV08`` model sets
it to 13.01 to model slow-start, while the ``SMPI`` model has several possible values depending on the interval in which the
message size falls. The default SMPI setting given below specifies for example that a message smaller than 257 bytes will get a
latency multiplier of 2.01467 while a message whose size is in [15424, 65472] will get a latency multiplier of 3.48845. The
``wifi`` model goes further and uses a callback in the program to compute the factor that must be non-linear in this case.

This multiplier is applied to the latency computed from the platform, that is the sum of all link *physical* latencies over the
:ref:`network path <platform_routing>` used by the considered communication, to derive the *effective* end-to-end latency.

Constant factors are easy to express, but the interval-based syntax used in SMPI is somewhat complex. It expects a set of
factors separated by semicolons, each of the form ``boundary:factor``. For example if your specification is
``0:1;1000:2;5000:3``, it means that on [0, 1000) the factor is 1. On [1000,5000), the factor is 2 while the factor is 3 for
5000 and beyond. If your first interval does include size=0, then the default value of 1 is used before. Changing the factor
callback is not possible from the command line and must be done from your code, as shown in `this example
<https://framagit.org/simgrid/simgrid/tree/master/examples/cpp/network-factors/s4u-network-factors.cpp>`_. Note that the chosen
model only provides some default settings. You may pick a ``LV08`` model to get some of the settings, and override the latency
with interval-based values.

SMPI default value: 65472:11.6436; 15424:3.48845; 9376:2.59299; 5776:2.18796; 3484:1.88101; 1426:1.61075; 732:1.9503;
257:1.95341;0:2.01467 (interval boundaries are sorted automatically). These values were computed by data fitting on the Stampede
Supercomputer at TACC, with optimal deployment of processes on nodes. To accurately model your settings, you should redo the
:ref:`calibration <models_calibration>`.

**Option** ``network/bandwidth-factor`` **Default:** 1.0, but overridden by most models

Setting this option automatically adjusts the *effective* bandwidth (i.e., the one perceived by the application) used by any
given communication. As with latency-factor above, the value can be a constant (``CM02`` uses 1 -- no correction -- while
``LV08`` uses 0.97 to discount TCP headers while computing the payload bandwidth), interval-based (as the default provided by
the ``SMPI``), or using in-program callbacks (as with ``wifi``).

SMPI default value: 65472:0.940694;15424:0.697866;9376:0.58729;5776:1.08739;3484:0.77493;1426:0.608902;732:0.341987;257:0.338112;0:0.812084
This was also computed on the Stampede Supercomputer.

**Option** ``network/weight-S`` **Default:** depends on the model

Value used to account for RTT-unfairness when sharing a bottleneck (network connections with a large RTT are generally penalized
against those with a small one). See :ref:`models_TCP` and also this scientific paper: `Accuracy Study and Improvement of Network
Simulation in the SimGrid Framework <http://mescal.imag.fr/membres/arnaud.legrand/articles/simutools09.pdf>`_

Default values for ``CM02`` is 0. ``LV08`` sets it to 20537 while both ``SMPI`` and ``IB`` set it to 8775.

.. _cfg=network/loopback:

Configuring loopback link
^^^^^^^^^^^^^^^^^^^^^^^^^

Several network models provide an implicit loopback link to account for local
communication on a host. By default it has a 10GBps bandwidth and a null latency.
This can be changed with ``network/loopback-lat`` and ``network/loopback-bw``
items. Note that this loopback is conveniently modeled with a :ref:`single FATPIPE link  <pf_loopback>`
for the whole platform. If modeling contention inside nodes is important then you should
rather add such loopback links (one for each host) yourself.

.. _cfg=smpi/IB-penalty-factors:

Infiniband model
^^^^^^^^^^^^^^^^

InfiniBand network behavior can be modeled through 3 parameters
``smpi/IB-penalty-factors:"βe;βs;γs"``, as explained in `the PhD
thesis of Jérôme Vienne
<http://mescal.imag.fr/membres/jean-marc.vincent/index.html/PhD/Vienne.pdf>`_ (in French)
or more concisely in `this paper <https://hal.inria.fr/hal-00953618/document>`_,
even if that paper does only describe models for myrinet and ethernet.
You can see in Fig 2 some results for Infiniband, for example. This model
may be outdated by now for modern infiniband, anyway, so a new
validation would be good.

The three paramaters are defined as follows:

- βs: penalty factor for outgoing messages, computed by running a simple send to
  two nodes and checking slowdown compared to a single send to one node,
  dividing by 2
- βe: penalty factor for ingoing messages, same computation method but with one
  node receiving several messages
- γr: slowdown factor when communication buffer memory is saturated. It needs a
  more complicated pattern to run in order to be computed (5.3 in the thesis,
  page 107), and formula in the end is γr = time(c)/(3×βe×time(ref)), where
  time(ref) is the time of a single comm with no contention).

Once these values are computed, a penalty is assessed for each message (this is
the part implemented in the simulator) as shown page 106 of the thesis. Here is
a simple translation of this text. First, some notations:

- ∆e(e) which corresponds to the incoming degree of node e, that is to say the number of communications having as destination node e.
- ∆s (s) which corresponds to the degree outgoing from node s, that is to say the number of communications sent by node s.
- Φ (e) which corresponds to the number of communications destined for the node e but coming from a different node.
- Ω (s, e) which corresponds to the number of messages coming from node s to node e. If node e only receives communications from different nodes then Φ (e) = ∆e (e). On the other hand if, for example, there are three messages coming from node s and going from node e then Φ (e) 6 = ∆e (e) and Ω (s, e) = 3

To determine the penalty for a communication, two values need to be calculated. First, the penalty caused by the conflict in transmission, noted ps.


- if ∆s (i) = 1 then ps = 1.
- if ∆s (i) ≥ 2 and ∆e (i) ≥ 3 then ps = ∆s (i) × βs × γr
- else, ps = ∆s (i) × βs


Then,  the penalty caused by the conflict in reception (noted pe) should be computed as follows:

- if ∆e (i) = 1 then pe = 1
- else, pe = Φ (e) × βe × Ω (s, e)

Finally, the penalty associated with the communication is:
p = max (ps ∈ s, pe)

.. _cfg=network/crosstraffic:

Simulating Cross-Traffic
^^^^^^^^^^^^^^^^^^^^^^^^

Since SimGrid v3.7, cross-traffic effects can be taken into account in
analytical simulations. It means that ongoing and incoming
communication flows are treated independently. In addition, the LV08
model adds 0.05 of usage on the opposite direction for each new
created flow. This can be useful to simulate some important TCP
phenomena such as ack compression.

For that to work, your platform must have two links for each
pair of interconnected hosts. An example of usable platform is
available in ``examples/platforms/crosstraffic.xml``.

This is activated through the ``network/crosstraffic`` item, that
can be set to 0 (disable this feature) or 1 (enable it).

Note that with the default host model this option is activated by default.

.. _cfg=smpi/async-small-thresh:

Simulating Asynchronous Send
^^^^^^^^^^^^^^^^^^^^^^^^^^^^

It is possible to specify that messages below a certain size (in bytes) will be
sent as soon as the call to MPI_Send is issued, without waiting for
the correspondent receive. This threshold can be configured through
the ``smpi/async-small-thresh`` item. The default value is 0. This
behavior can also be manually set for mailboxes, by setting the
receiving mode of the mailbox with a call to
:cpp:func:`sg_mailbox_set_receiver`. After this, all messages sent to
this mailbox will have this behavior regardless of the message size.

This value needs to be smaller than or equals to the threshold set at
:ref:`cfg=smpi/send-is-detached-thresh`, because asynchronous messages
are meant to be detached as well.

.. _options_pls:

Configuring ns-3
^^^^^^^^^^^^^^^^

**Option** ``ns3/NetworkModel`` **Default:** "default" (ns-3 default TCP)

When using ns-3, the item ``ns3/NetworkModel`` can be used to switch between TCP or UDP, and switch the used TCP variante. If
the item is left unchanged, ns-3 uses the default TCP implementation. With a value of "UDP", ns-3 is set to use UDP instead.
With the value of either 'NewReno' or 'Cubic', the ``ns3::TcpL4Protocol::SocketType`` configuration item in ns-3 is set to the
corresponding protocol.

**Option** ``ns3/seed`` **Default:** "" (don't set the seed in ns-3)

This option is the random seed to provide to ns-3 with
``ns3::RngSeedManager::SetSeed`` and ``ns3::RngSeedManager::SetRun``.

If left blank, no seed is set in ns-3. If the value 'time' is
provided, the current amount of seconds since epoch is used as a seed.
Otherwise, the provided value must be a number to use as a seed.

Configuring the Storage model
.............................

.. _cfg=storage/max_file_descriptors:

File Descriptor Count per Host
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

**Option** ``storage/max_file_descriptors`` **Default:** 1024

Each host maintains a fixed-size array of its file descriptors. You
can change its size through this item to either enlarge it if your
application requires it or to reduce it to save memory space.

.. _cfg=plugin:

Activating Plugins
------------------

SimGrid plugins allow one to extend the framework without changing its
source code directly. Read the source code of the existing plugins to
learn how to do so (in ``src/plugins``), and ask your questions to the
usual channels (Stack Overflow, Mailing list, IRC). The basic idea is
that plugins usually register callbacks to some signals of interest.
If they need to store some information about a given object (Link, CPU
or Actor), they do so through the use of a dedicated object extension.

Some of the existing plugins can be activated from the command line,
meaning that you can activate them from the command line without any
modification to your simulation code. For example, you can activate
the host energy plugin by adding ``--cfg=plugin:host_energy`` to your
command line.

Here is a partial list of plugins that can be activated this way. You can get
the full list by passing ``--cfg=plugin:help`` to your simulator.

  - :ref:`Host Energy <plugin_host_energy>`: models the energy dissipation of the compute units.
  - :ref:`Link Energy <plugin_link_energy>`: models the energy dissipation of the network.
  - :ref:`Host Load <plugin_host_load>`: monitors the load of the compute units.

.. _options_modelchecking:

Configuring the Model-Checking
------------------------------

To enable SimGrid's model-checking support, the program should
be executed using the simgrid-mc wrapper:

.. code-block:: console

   $ simgrid-mc ./my_program

Safety properties are expressed as assertions using the function
:cpp:func:`void MC_assert(int prop)`.

.. _cfg=smpi/buffering:

Specifying the MPI buffering behavior
.....................................

**Option** ``smpi/buffering`` **Default:** infty

Buffering in MPI has a huge impact on the communication semantic. For example,
standard blocking sends are synchronous calls when the system buffers are full
while these calls can complete immediately without even requiring a matching
receive call for small messages sent when the system buffers are empty.

In SMPI, this depends on the message size, that is compared against two thresholds:

- if (size < :ref:`smpi/async-small-thresh <cfg=smpi/async-small-thresh>`) then
  MPI_Send returns immediately, and the message is sent even if the
  corresponding receive has not be issued yet.  This is known as the eager mode.
- if (:ref:`smpi/async-small-thresh <cfg=smpi/async-small-thresh>` < size <
  :ref:`smpi/send-is-detached-thresh <cfg=smpi/send-is-detached-thresh>`) then
  MPI_Send also returns immediately, but SMPI waits for the corresponding
  receive to be posted, in order to perform the communication operation.
- if (:ref:`smpi/send-is-detached-thresh <cfg=smpi/send-is-detached-thresh>` < size) then
  MPI_Send returns only when the message has actually been sent over the network. This is known as the rendez-vous mode.

The ``smpi/buffering`` (only valid with MC) option gives an easier interface to choose between these semantics. It can take two values:

- **zero:** means that buffering should be disabled. All communications are actually blocking.
- **infty:** means that buffering should be made infinite. All communications are non-blocking.

.. _cfg=model-check/reduction:

Specifying the kind of reduction
................................

**Option** model-check/reduction **Default:** "dpor"

The main issue when using the model-checking is the state space
explosion. You can activate some reduction technique with
``--cfg=model-check/reduction:<technique>``. For now, this
configuration variable can take 2 values:

 - **none:** Do not apply any kind of reduction
 - **dpor:** Apply Dynamic Partial Ordering Reduction. Only valid if you verify local safety properties (default value for
   safety checks).
 - **sdpor:** Source-set DPOR, as described in "Source Sets: A Foundation for Optimal Dynamic Partial Order Reduction"
    by Abdulla et al.
 - **odpor:** Optimal DPOR, as described in "Source Sets: A Foundation for Optimal Dynamic Partial Order Reduction"
    by Abdulla et al.

Our current DPOR implementation could be improved in may ways. We are
currently improving its efficiency (both in term of reduction ability
and computational speed).

.. _cfg=model-check/dot-output:

Dot Output
..........

If set, the ``model-check/dot-output`` configuration item is the name
of a file in which to write a dot file of the path leading to the
property violation discovered (safety violation). This dot file can then be fed to the
graphviz dot tool to generate a corresponding graphical representation.

.. _cfg=model-check/max-depth:

Exploration Depth Limit
.......................

The ``model-check/max-depth`` can set the maximum depth of the
exploration graph of the model checker. If this limit is reached, a
logging message is sent and the results might not be exact.

By default, the exploration is limited to the depth of 1000.

.. _cfg=model-check/max-errors:

Maximal amount of errors
........................

The ``model-check/max-errors`` can be used to find more than one error in a given code. This may be useful if the trace of
the first encountered faulty execution is too long. In that case, increasing the value of this option may help to find another trace
that could be smaller. Using a negative value ensures exhaustive exploration, with no maximal amount on the number of found
errors.

By default, the exploration stops after the first error (value = 0).

.. _cfg=model-check/search-critical:

Searching for the critical transition
.....................................

When it finds a failure, SimGrid automatically searches for the so-called critical transition. Before that transition, at least
one exploration is correct; After it, all explorations are faulty. We hope that exhibiting critical transition will help you
understanding the error. This option is enabled by default, unless when the model-checker is instructed to continue after the
first error (in which case it cannot properly look for the critical transition).

.. _cfg=model-check/timeout-soft:

Setting a timeout upon execution
................................

If you wish to search for bugs in a best effort way, you probably want to explore with the ``uniform`` strategy (see
:ref:`cfg=model-check/strategy`) and with a soft timeout. If such a timeout expires, the exploration will gracefully terminate
at the next exploration end, without backtracking to a yet-to-be-explored case. The return code is 0 in this case.

.. _cfg=model-check/timeout:

Handling of Timeouts
....................

By default, the model checker does not handle timeout conditions: the `wait`
operations never time out. With the ``model-check/timeout`` configuration item
set to **yes**, the model checker will explore timeouts of `wait` operations.

.. _cfg=model-check/communications-determinism:
.. _cfg=model-check/send-determinism:

Communication Determinism
.........................

The ``model-check/communications-determinism`` and
``model-check/send-determinism`` items can be used to select the
communication determinism mode of the model checker, which checks
determinism properties of the communications of an application.

.. _cfg=model-check/strategy:

Exploration strategies
......................

By default, the model checker follows a depth-first exploration, but several other strategies exist. The following list may be
incomplete, so you'd better look at the code or speak with us for more information.

 - **uniform**: Randomly pick the next branch to explore each time that the exploration reaches an end (i.e., on backtrack).
 - **none**: default value instructing SimGrid to follow a depth-first exploration.

.. _cfg=model-check/cached-states-interval:

Caching states for performance
..............................

To explore new execution branches, the verified application must be rollback to its original state, and some transitions must be
replayed to bring the application to the desired decision point. If the application induces many computations, replaying the
transition from the beginning of the application can be time-consuming.  To save time, one can use the
``cached-states-interval`` configuration item to save intermediate states that can be used as a starting point while restoring
an applicative state. This is implemented by forking the executing application to later restart from that fork instead of from
the begining.

By default, one in every 1000 states is cached this way. If the used value is 0, then no state gets cached. Caching too little
states forces many useless transitions replays (consuming time) while caching too much states may exhaust the memory and other
resources (SimGrid will refuse caching more states if the file limit is almost reached). Increasing the maximal amount of open
file per process on your machine with ``ulimit -n <value>`` may allow to cache more states if your memory allows. States get
removed from the memory once they become useless, so your resource consumption *should* plateau at some point during the
exploration. This is not true when the randomized exploration strategy is used, as it keeps exploring random branches that must
be stored, while branches can only removed once every branches on their left was explored. A random exploration results in
sparsly explored trees where no memory can be reclaimed.

.. _cfg=model-check/no-fork:

Verifying Python or multitheaded codes
......................................

By default, the model checker relies on system forks to speed-up the exploration but POSIX forbids the use of this system call
in multithreaded applications. So, you cannot verify an application with :ref:`cfg=contexts/factory` set to ``thread``. Since
our Python bindings unfortunately require the threaded contexts, this makes it impossible to use forks to speed up the
verification of Python programs. In this case, use ``--cfg=model-check/no-fork:1`` to go for the slow exploration without forks.
With this option, a brand new python interpreter will be started when the model checker needs to rollback the application to
explore another execution branch. This is slow, and will only work if your application is perfectly reproducible.

.. _cfg=model-check/setenv:

Passing environment variables
.............................

You can specify extra environment variables to be set in the verified application
with ``model-check/setenv``. For example, you can preload a library as follows:
``-cfg=model-check/setenv:LD_PRELOAD=toto;LD_LIBRARY_PATH=/tmp``.

If you are using simgrid-mc to start your program, you can also use the ``--sthread`` flag to directly use the right flag to
load the sthread.so library through LD_PRELOAD.

.. _options_mc_perf:

Verification Performance Considerations
.......................................

The size of the stacks can have a huge impact on the memory
consumption when using model-checking. By default, each snapshot will
save a copy of the whole stacks and not only of the part that is
really meaningful: you should expect the contribution of the memory
consumption of the snapshots to be:
:math:`\text{number of processes} \times \text{stack size} \times \text{number of states}`.

When compiled against the model checker, the stacks are not
protected with guards: if the stack size is too small for your
application, the stack will silently overflow into other parts of the
memory (see :ref:`contexts/guard-size <cfg=contexts/guard-size>`).

.. _cfg=model-check/replay:

Replaying buggy execution paths from the model checker
......................................................

Debugging the problems reported by the model checker is challenging because
the model checker may explore several execution paths before encountering the issue,
the output very difficult to understand. Fortunately, SimGrid provides
the execution path leading to any reported issue so that you can replay
this path reported by the model checker, restoring a classical experience of debugging.

When the model checker finds an interesting path in the application
execution graph (where a safety property is violated), it
generates an identifier for this path. Here is an example of the output:

.. code-block:: console

   [  0.000000] (0:@) Check a safety property
   [  0.000000] (0:@) **************************
   [  0.000000] (0:@) *** PROPERTY NOT VALID ***
   [  0.000000] (0:@) **************************
   [  0.000000] (0:@) Counter-example execution trace:
   [  0.000000] (0:@)   [(1)Tremblay (app)] MC_RANDOM(3)
   [  0.000000] (0:@)   [(1)Tremblay (app)] MC_RANDOM(4)
   [  0.000000] (0:@) Path = 1/3;1/4
   [  0.000000] (0:@) Expanded states = 27
   [  0.000000] (0:@) Visited states = 68
   [  0.000000] (0:@) Executed transitions = 46

The interesting line is ``Path = 1/3;1/4``, which means that you should use
``--cfg=model-check/replay:1/3;1/4`` to replay your application on the buggy
execution path. All options (but the model checker related ones) must
remain the same. In particular, if you ran your application with
``smpirun -wrapper simgrid-mc``, then remove the ``-wrapper simgrid-mc`` part 
(you may want to use valgrind or gdb as wrappers instead). Also remove all
MC-related options, keep non-MC-related ones and add
``--cfg=model-check/replay:???``.

Things are very similar if you are using sthread. Simply drop ``simgrid-mc`` from your command line, as follows:

.. code-block:: console

   $ LD_PRELOAD=../../lib/libsthread.so ./pthread-mutex-simpledeadlock --cfg=model-check/replay:'2;2;3;2;3;3'
   sthread is intercepting the execution of ./pthread-mutex-simpledeadlock
   [0.000000] [xbt_cfg/INFO] Configuration change: Set 'model-check/replay' to '2;2;3;2;3;3'
   [0.000000] [mc_record/INFO] path=2;2;3;2;3;3
   All threads are started.
   [0.000000] [mc_record/INFO] ***********************************************************************************
   [0.000000] [mc_record/INFO] * Path chunk #1 '2/0' Actor thread 1(pid:2): MUTEX_ASYNC_LOCK(mutex_id:0 owner:none)
   [0.000000] [mc_record/INFO] ***********************************************************************************
   Backtrace (displayed in actor thread 1):
     ->  #0 simgrid::s4u::Mutex::lock() at ../../src/s4u/s4u_Mutex.cpp:26
     ->  #1 sthread_mutex_lock at ../../src/sthread/sthread_impl.cpp:188
     ->  #2 pthread_mutex_lock at ../../src/sthread/sthread.c:141
     ->  #3 thread_fun1 at ../../examples/sthread/pthread-mutex-simpledeadlock.c:21
   
   [0.000000] [mc_record/INFO] ***********************************************************************************
   [0.000000] [mc_record/INFO] * Path chunk #2 '2/0' Actor thread 1(pid:2): MUTEX_WAIT(mutex_id:0 owner:2)
   [0.000000] [mc_record/INFO] ***********************************************************************************
   Backtrace (displayed in actor thread 1):
     ->  #0 simgrid::s4u::Mutex::lock() at ../../src/s4u/s4u_Mutex.cpp:29
     ->  #1 sthread_mutex_lock at ../../src/sthread/sthread_impl.cpp:188
     ->  #2 pthread_mutex_lock at ../../src/sthread/sthread.c:141
     ->  #3 thread_fun1 at ../../examples/sthread/pthread-mutex-simpledeadlock.c:21
   
   [0.000000] [mc_record/INFO] ***********************************************************************************
   [0.000000] [mc_record/INFO] * Path chunk #3 '3/0' Actor thread 2(pid:3): MUTEX_ASYNC_LOCK(mutex_id:1 owner:none)
   [0.000000] [mc_record/INFO] ***********************************************************************************
   Backtrace (displayed in actor thread 2):
     ->  #0 simgrid::s4u::Mutex::lock() at ../../src/s4u/s4u_Mutex.cpp:26
     ->  #1 sthread_mutex_lock at ../../src/sthread/sthread_impl.cpp:188
     ->  #2 pthread_mutex_lock at ../../src/sthread/sthread.c:141
     ->  #3 thread_fun2 at ../../examples/sthread/pthread-mutex-simpledeadlock.c:31
   
   [0.000000] [mc_record/INFO] ***********************************************************************************
   [0.000000] [mc_record/INFO] * Path chunk #4 '2/0' Actor thread 1(pid:2): MUTEX_ASYNC_LOCK(mutex_id:1 owner:3)
   [0.000000] [mc_record/INFO] ***********************************************************************************
   Backtrace (displayed in actor thread 1):
     ->  #0 simgrid::s4u::Mutex::lock() at ../../src/s4u/s4u_Mutex.cpp:26
     ->  #1 sthread_mutex_lock at ../../src/sthread/sthread_impl.cpp:188
     ->  #2 pthread_mutex_lock at ../../src/sthread/sthread.c:141
     ->  #3 thread_fun1 at ../../examples/sthread/pthread-mutex-simpledeadlock.c:22
   
   [0.000000] [mc_record/INFO] ***********************************************************************************
   [0.000000] [mc_record/INFO] * Path chunk #5 '3/0' Actor thread 2(pid:3): MUTEX_WAIT(mutex_id:1 owner:3)
   [0.000000] [mc_record/INFO] ***********************************************************************************
   Backtrace (displayed in actor thread 2):
     ->  #0 simgrid::s4u::Mutex::lock() at ../../src/s4u/s4u_Mutex.cpp:29
     ->  #1 sthread_mutex_lock at ../../src/sthread/sthread_impl.cpp:188
     ->  #2 pthread_mutex_lock at ../../src/sthread/sthread.c:141
     ->  #3 thread_fun2 at ../../examples/sthread/pthread-mutex-simpledeadlock.c:31
   
   [0.000000] [mc_record/INFO] ***********************************************************************************
   [0.000000] [mc_record/INFO] * Path chunk #6 '3/0' Actor thread 2(pid:3): MUTEX_ASYNC_LOCK(mutex_id:0 owner:2)
   [0.000000] [mc_record/INFO] ***********************************************************************************
   Backtrace (displayed in actor thread 2):
     ->  #0 simgrid::s4u::Mutex::lock() at ../../src/s4u/s4u_Mutex.cpp:26
     ->  #1 sthread_mutex_lock at ../../src/sthread/sthread_impl.cpp:188
     ->  #2 pthread_mutex_lock at ../../src/sthread/sthread.c:141
     ->  #3 thread_fun2 at ../../examples/sthread/pthread-mutex-simpledeadlock.c:32
   
   [0.000000] [mc_record/INFO] The replay of the trace is complete. DEADLOCK detected.
   [0.000000] [ker_engine/INFO] 3 actors are still running, waiting for something.
   [0.000000] [ker_engine/INFO] Legend of the following listing: "Actor <pid> (<name>@<host>): <status>"
   [0.000000] [ker_engine/INFO] Actor 1 (main thread@Lilibeth) simcall ActorJoin(pid:2)
   [0.000000] [ker_engine/INFO] Actor 2 (thread 1@Lilibeth) simcall MUTEX_WAIT(mutex_id:1 owner:3)
   [0.000000] [ker_engine/INFO] Actor 3 (thread 2@Lilibeth) simcall MUTEX_WAIT(mutex_id:0 owner:2)
   [0.000000] [sthread/INFO] All threads exited. Terminating the simulation.
   [0.000000] ../../src/kernel/EngineImpl.cpp:265: [ker_engine/WARNING] Process called exit when leaving - Skipping cleanups
   [0.000000] ../../src/kernel/EngineImpl.cpp:265: [ker_engine/WARNING] Process called exit when leaving - Skipping cleanups

Currently, if the path is of the form ``X;Y;Z``, each number denotes
the actor's pid that is selected at each indecision point. If it's of
the form ``X/a;Y/b``, the X and Y are the selected pids while the a
and b are the return values of their simcalls. In the previous
example, ``1/3;1/4``, you can see from the full output that the actor
1 is doing MC_RANDOM simcalls, so the 3 and 4 simply denote the values
that these simcall return on the execution branch leading to the
violation.

Configuring the User Code Virtualization
----------------------------------------

.. _cfg=contexts/factory:

Selecting the Virtualization Factory
....................................

**Option** contexts/factory **Default:** "raw"

In SimGrid, the user code is virtualized in a specific mechanism that
allows the simulation kernel to control its execution: when a user
process requires a blocking action (such as sending a message), it is
interrupted, and only gets released when the simulated clock reaches
the point where the blocking operation is done. This is explained
graphically in the `relevant tutorial, available online
<https://simgrid.org/tutorials/simgrid-simix-101.pdf>`_.

In SimGrid, the containers in which user processes are virtualized are
called contexts. Several context factory are provided, and you can
select the one you want to use with the ``contexts/factory``
configuration item. Some of the following may not exist on your
machine because of portability issues. In any case, the default one
should be the most effcient one (please report bugs if the
auto-detection fails for you). They are approximately sorted here from
the slowest to the most efficient:

 - **thread:** very slow factory using full featured, standard threads.
   They are slow but very standard. Some debuggers or profilers only work with this factory.
 - **boost:** This uses the `context
   implementation <http://www.boost.org/doc/libs/1_59_0/libs/context/doc/html/index.html>`_
   of the boost library for a performance that is comparable to our
   raw implementation.
   |br| Install the relevant library (e.g. with the
   libboost-contexts-dev package on Debian/Ubuntu) and recompile
   SimGrid.
 - **raw:** amazingly fast factory using a context switching mechanism
   of our own, directly implemented in assembly (only available for x86
   and amd64 platforms for now) and without any unneeded system call.

The main reason to change this setting is when the debugging tools become
fooled by the optimized context factories. Threads are the most
debugging-friendly contexts, as they allow one to set breakpoints
anywhere with gdb and visualize backtraces for all processes, in order
to debug concurrency issues. Valgrind is also more comfortable with
threads, but it should be usable with all factories (Exception: the
callgrind tool really dislikes the raw factory).

.. _cfg=contexts/stack-size:

Adapting the Stack Size
.......................

**Option** ``contexts/stack-size`` **Default:** 8192 KiB

Each virtualized used process is executed using a specific system
stack. The size of this stack has a huge impact on the simulation
scalability, but its default value is rather large. This is because
the error messages that you get when the stack size is too small are
rather disturbing: this leads to stack overflow (overwriting other
stacks), leading to segfaults with corrupted stack traces.

If you want to push the scalability limits of your code, you might
want to reduce the ``contexts/stack-size`` item. Its default value is
8192 (in KiB), while our Chord simulation works with stacks as small
as 16 KiB, for example. You can ensure that some actors have a specific
size by simply changing the value of this configuration item before
creating these actors. The :cpp:func:`simgrid::s4u::Engine::set_config`
functions are handy for that.

This *setting is ignored* when using the thread factory (because there
is no way to modify the stack size with C++ system threads). Instead,
you should compile SimGrid and your application with
``-fsplit-stack``. Note that this compilation flag is not compatible
with the model checker right now.

The operating system should only allocate memory for the pages of the
stack which are actually used and you might not need to use this in
most cases. However, this setting is very important when using the
model checker (see :ref:`options_mc_perf`).

.. _cfg=contexts/guard-size:

Disabling Stack Guard Pages
...........................

**Option** ``contexts/guard-size`` **Default** 1 page in most case (0 pages with MC)

Unless you use the threads context factory (see
:ref:`cfg=contexts/factory`), a stack guard page is usually used
which prevents the stack of a given actor from overflowing on another
stack. But the performance impact may become prohibitive when the
amount of actors increases.  The option ``contexts/guard-size`` is the
number of stack guard pages used.  By setting it to 0, no guard pages
will be used: in this case, you should avoid using small stacks (with
:ref:`contexts/stack-size <cfg=contexts/stack-size>`) as the stack
will silently overflow on other parts of the memory.

When no stack guard page is created, stacks may then silently overflow
on other parts of the memory if their size is too small for the
application.

.. _cfg=contexts/nthreads:
.. _cfg=contexts/synchro:

Running User Code in Parallel
.............................

Parallel execution of the user code is only considered stable in
SimGrid v3.7 and higher, and mostly for S4U simulations. SMPI
simulations may well fail in parallel mode. It is described in
`INRIA RR-7653 <http://hal.inria.fr/inria-00602216/>`_.

Note that this feature is only tested on Linux. It may or may not work on other systems.

If you are using the **raw** context factory, you can
request to execute the user code in parallel. Several threads are
launched, each of them handling the same number of user contexts at each
run. To activate this, set the ``contexts/nthreads`` item to the amount
of cores that you have in your computer (or lower than 1 to have the
amount of cores auto-detected).

When parallel execution is activated, you can choose the
synchronization schema used with the ``contexts/synchro`` item,
which value is either:

 - **futex:** ultra optimized synchronisation schema, based on futexes
   (fast user-mode mutexes), and thus only available on Linux systems.
   This is the default mode when available.
 - **posix:** slow but portable synchronisation using only POSIX
   primitives.
 - **busy_wait:** not really a synchronisation: the worker threads
   constantly request new contexts to execute. It should be the most
   efficient synchronisation schema, but it loads all the cores of
   your machine for no good reason. You probably prefer the other less
   eager schemas.

Configuring the Tracing
-----------------------

The :ref:`tracing subsystem <outcome_vizu>` can be configured in
several different ways depending on the used interface (S4U, SMPI)
and the kind of traces that needs to be obtained. See the
:ref:`Tracing Configuration Options subsection
<tracing_tracing_options>` for a full description of each
configuration option.

We detail here a simple way to get the traces working for you, even if
you never used the tracing API.


- Any SimGrid-based simulator (S4U, SMPI, ...) and raw traces:

  .. code-block:: none

     --cfg=tracing:yes --cfg=tracing/uncategorized:yes

  The first parameter activates the tracing subsystem, and the second
  tells it to trace host and link utilization (without any
  categorization).

- S4U-based simulator and categorized traces (you need to
  declare categories and classify your tasks according to them)

  .. code-block:: none

     --cfg=tracing:yes --cfg=tracing/categorized:yes

  The first parameter activates the tracing subsystem, and the second
  tells it to trace host and link categorized utilization.

- SMPI simulator and traces for a space/time view:

  .. code-block:: console

     $ smpirun -trace ...

  The `-trace` parameter for the smpirun script runs the simulation
  with ``--cfg=tracing:yes --cfg=tracing/smpi:yes``. Check the
  smpirun's `-help` parameter for additional tracing options.

Sometimes you might want to put additional information on the trace to
correctly identify them later, or to provide data that can be used to
reproduce an experiment. You have two ways to do that:

- Add a string on top of the trace file as comment:

  .. code-block:: none

     --cfg=tracing/comment:my_simulation_identifier

- Add the contents of a textual file on top of the trace file as comment:

  .. code-block:: none

     --cfg=tracing/comment-file:my_file_with_additional_information.txt

Please, use these two parameters (for comments) to make reproducible
simulations. For additional details about this and all tracing
options, check See the :ref:`tracing_tracing_options`.

Configuring SMPI
----------------

The SMPI interface provides several specific configuration items.
These are not easy to see with ``--help-cfg``, since SMPI binaries are usually launched through the ``smiprun`` script.

.. _cfg=smpi/host-speed:
.. _cfg=smpi/cpu-threshold:
.. _cfg=smpi/simulate-computation:

Automatic Benchmarking of SMPI Code
...................................

In SMPI, the sequential code is automatically benchmarked, and these
computations are automatically reported to the simulator. That is to
say that if you have a large computation between a ``MPI_Recv()`` and
a ``MPI_Send()``, SMPI will automatically benchmark the duration of
this code, and create an execution task within the simulator to take
this into account. For that, the actual duration is measured on the
host machine and then scaled to the power of the corresponding
simulated machine. The variable ``smpi/host-speed`` allows one to
specify the computational speed of the host machine (in flop/s by
default) to use when scaling the execution times.

The default value is ``smpi/host-speed=20kf`` (= 20,000 flop/s). This
is probably underestimated for most machines, leading SimGrid to
overestimate the amount of flops in the execution blocks that are
automatically injected in the simulator. As a result, the execution
time of the whole application will probably be overestimated until you
use a realistic value.

You can request SimGrid to compute a rough estimate of the correct value by providing ``auto`` as a value. It will benchmark a
little matrix multiplication for which the flop amount is known, and get a correct estimate of your computer's speed. This value
remains an estimate, as the flops speed achieved by a machine greatly depends on the code it execute.

When the code consists of numerous consecutive MPI calls, the
previous mechanism feeds the simulation kernel with numerous tiny
computations. The ``smpi/cpu-threshold`` item becomes handy when this
impacts badly on the simulation performance. It specifies a threshold (in
seconds) below which the execution chunks are not reported to the
simulation kernel (default value: 1e-6).

.. note:: The option ``smpi/cpu-threshold`` ignores any computation
   time spent below this threshold. SMPI does not consider the
   `amount of time` of these computations; there is no offset for
   this. Hence, a value that is too small, may lead to unreliable
   simulation results.

In some cases, however, one may wish to disable simulation of
the computation of an application. This is the case when SMPI is used not to
simulate an MPI application, but instead an MPI code that performs
"live replay" of another MPI app (e.g., ScalaTrace's replay tool, or
various on-line simulators that run an app at scale). In this case the
computation of the replay/simulation logic should not be simulated by
SMPI. Instead, the replay tool or on-line simulator will issue
"computation events", which correspond to the actual MPI simulation
being replayed/simulated. At the moment, these computation events can
be simulated using SMPI by calling internal smpi_execute*() functions.

To disable the benchmarking/simulation of a computation in the simulated
application, the variable ``smpi/simulate-computation`` should be set
to **no**.  This option just ignores the timings in your simulation; it
still executes the computations itself. If you want to stop SMPI from
doing that, you should check the SMPI_SAMPLE macros, documented in
Section :ref:`SMPI_use_faster`.

+------------------------------------+-------------------------+-----------------------------+
|  Solution                          | Computations executed?  | Computations simulated?     |
+====================================+=========================+=============================+
| --cfg=smpi/simulate-computation:no | Yes                     | Never                       |
+------------------------------------+-------------------------+-----------------------------+
| --cfg=smpi/cpu-threshold:42        | Yes, in all cases       | If it lasts over 42 seconds |
+------------------------------------+-------------------------+-----------------------------+
| SMPI_SAMPLE() macro                | Only once per loop nest | Always                      |
+------------------------------------+-------------------------+-----------------------------+

.. _cfg=smpi/comp-adjustment-file:

Slow-down or speed-up parts of your code
........................................

**Option** ``smpi/comp-adjustment-file:`` **Default:** unset

This option allows you to pass a file that contains two columns: The
first column defines the section that will be subject to a speedup;
the second column is the speedup. For instance:

.. code-block:: none

  "start:stop","ratio"
  "exchange_1.f:30:exchange_1.f:130",1.18244559422142

The first line is the header - you must include it.  The following
line means that the code between two consecutive MPI calls on line 30
in exchange_1.f and line 130 in exchange_1.f should receive a speedup
of 1.18244559422142. The value for the second column is therefore a
speedup, if it is larger than 1 and a slowdown if it is smaller
than 1. Nothing will be changed if it is equal to 1.

Of course, you can set any arbitrary filenames you want (so the start
and end don't have to be in the same file), but be aware that this
mechanism only supports `consecutive calls!`

Please note that you must pass the ``-trace-call-location`` flag to
smpicc or smpiff, respectively. This flag activates some internal
macro definitions that help with obtaining the call location.

Bandwidth and latency factors
.............................

Adapting the bandwidth and latency acurately to the network conditions is of a paramount importance to get realistic results.
This is done through the :ref:`network/bandwidth-factor <cfg=network/bandwidth-factor>` and :ref:`network/latency-factor
<cfg=network/latency-factor>` items. You probably also want to read the following section: :ref:`models_calibration`.

.. _cfg=smpi/display-timing:

Reporting Simulation Time
.........................

**Option** ``smpi/display-timing`` **Default:** 0 (false)

Most of the time, you run MPI code with SMPI to compute the time it
would take to run it on a platform. But since the code is run through
the ``smpirun`` script, you don't have any control on the launcher
code, making it difficult to report the simulated time when the
simulation ends. If you enable the ``smpi/display-timing`` item,
``smpirun`` will display this information when the simulation
ends.
SMPI will also display information about the amout of real time spent
in application code and in SMPI internals, to provide hints about the
need to use sampling to reduce simulation time.

.. _cfg=smpi/display-allocs:

Reporting memory allocations
............................

**Option** ``smpi/display-allocs`` **Default:** 0 (false)

SMPI intercepts malloc and calloc calls performed inside the running
application, if it wasn't compiled with SMPI_NO_OVERRIDE_MALLOC.
With this option, SMPI will show at the end of execution the amount of
memory allocated through these calls, and locate the most expensive one.
This helps finding the targets for manual memory sharing, or the threshold
to use for smpi/auto-shared-malloc-thresh option (see :ref:`cfg=smpi/auto-shared-malloc-thresh`).

.. _cfg=smpi/keep-temps:

Keeping temporary files after simulation
........................................

**Option** ``smpi/keep-temps`` **default:** 0 (false)

SMPI usually generates a lot of temporary files that are cleaned after
use. This option requests to preserve them, for example to debug or
profile your code. Indeed, the binary files are removed very early
under the dlopen privatization schema, which tends to fool the
debuggers.

.. _cfg=smpi/papi-events:

Trace hardware counters with PAPI
.................................

**Option** ``smpi/papi-events`` **default:** unset

When the PAPI support is compiled into SimGrid, this option takes the
names of PAPI counters and adds their respective values to the trace
files (See Section :ref:`tracing_tracing_options`).

.. warning::

   This feature currently requires superuser privileges, as registers
   are queried.  Only use this feature with code you trust! Call
   smpirun for instance via ``smpirun -wrapper "sudo "
   <your-parameters>`` or run ``sudo sh -c "echo 0 >
   /proc/sys/kernel/perf_event_paranoid"`` In the later case, sudo
   will not be required.

It is planned to make this feature available on a per-process (or per-thread?) basis.
The first draft, however, just implements a "global" (i.e., for all processes) set
of counters, the "default" set.

.. code-block:: none

   --cfg=smpi/papi-events:"default:PAPI_L3_LDM:PAPI_L2_LDM"

.. _cfg=smpi/privatization:

Automatic Privatization of Global Variables
...........................................

**Option** ``smpi/privatization`` **default:** "dlopen" (when using smpirun)

MPI executables are usually meant to be executed in separate
processes, but SMPI is executed in only one process. Global variables
from executables will be placed in the same memory region and shared
between processes, causing intricate bugs.  Several options are
possible to avoid this, as described in the main `SMPI publication
<https://hal.inria.fr/hal-01415484>`_ and in the :ref:`SMPI
documentation <SMPI_what_globals>`. SimGrid provides two ways of
automatically privatizing the globals, and this option allows one to
choose between them.

  - **no** (default when not using smpirun): Do not automatically
    privatize variables.  Pass ``-no-privatize`` to smpirun to disable
    this feature.
  - **dlopen** or **yes** (default when using smpirun): Link multiple
    times against the binary.
  - **mmap** (slower, but maybe somewhat more stable):
    Runtime automatic switching of the data segments.

.. warning::
   This configuration option cannot be set in your platform file. You can only
   pass it as an argument to smpirun.

.. _cfg=smpi/privatize-libs:

Automatic privatization of global variables inside external libraries
.....................................................................

**Option** ``smpi/privatize-libs`` **default:** unset

**Linux/BSD only:** When using dlopen (default) privatization,
privatize specific shared libraries with internal global variables, if
they can't be linked statically.  For example libgfortran is usually
used for Fortran I/O and indexes in files can be mixed up.

Multiple libraries can be given, semicolon separated.

This configuration option can only use either full paths to libraries,
or full names.  Check with ldd the name of the library you want to
use.  For example:

.. code-block:: console

   $ ldd allpairf90
      ...
      libgfortran.so.3 => /usr/lib/x86_64-linux-gnu/libgfortran.so.3 (0x00007fbb4d91b000)
      ...

Then you can use ``--cfg=smpi/privatize-libs:libgfortran.so.3``
or ``--cfg=smpi/privatize-libs:/usr/lib/x86_64-linux-gnu/libgfortran.so.3``,
but not ``libgfortran`` nor ``libgfortran.so``.

.. _cfg=smpi/send-is-detached-thresh:

Simulating MPI detached send
............................

**Option** ``smpi/send-is-detached-thresh`` **default:** 65536

This threshold specifies the size in bytes under which the send will
return immediately. This is different from the threshold detailed in
:ref:`cfg=smpi/async-small-thresh` because the message is not
really sent when the send is posted. SMPI still waits for the
corresponding receive to be posted, in order to perform the communication
operation.

.. _cfg=smpi/coll-selector:

Simulating MPI collective algorithms
....................................

**Option** ``smpi/coll-selector`` **Possible values:** naive (default), ompi, mpich

SMPI implements more than 100 different algorithms for MPI collective
communication, to accurately simulate the behavior of most of the
existing MPI libraries. The ``smpi/coll-selector`` item can be used to
select the decision logic either of the OpenMPI or the MPICH libraries. (By
default SMPI uses naive version of collective operations.)

Each collective operation can be manually selected with a ``smpi/collective_name:algo_name``. For example, if you want to use
the Bruck algorithm for the Alltoall algorithm, you should use ``--cfg=smpi/alltoall:bruck`` on the command-line of smpirun. The
reference of all available algorithms are listed in :ref:`SMPI_use_colls`, and you can get the full list implemented in your
version using ``smpirun --help-coll``.

.. _cfg=smpi/barrier-collectives:

Add a barrier in all collectives
................................

**Option** ``smpi/barrier-collectives`` **default:** off

This option adds a simple barrier in some collective operations to catch dangerous
code that may or may not work depending on the MPI implementation: Bcast, Exscan,
Gather, Gatherv, Scan, Scatter, Scatterv and Reduce.

For example, the following code works with OpenMPI while it deadlocks in MPICH and
Intel MPI. Broadcast seem to be "fire and forget" in OpenMPI while other
implementations expect to receive a message.

.. code-block:: C

  if (rank == 0) {
    MPI_Bcast(buf1, buff_size, MPI_CHAR, 0, newcom);
    MPI_Send(&buf2, buff_size, MPI_CHAR, 1, tag, newcom);
  } else if (rank==1) {
    MPI_Recv(&buf2, buff_size, MPI_CHAR, 0, tag, newcom, MPI_STATUS_IGNORE);
    MPI_Bcast(buf1, buff_size, MPI_CHAR, 0, newcom);
  }

The barrier is only simulated and does not involve any additional message (it is a S4U barrier).
This option is disabled by default, and activated by the `-analyze` flag of smpirun.

.. _cfg=smpi/barrier-finalization:

Add a barrier in MPI_Finalize
.............................

**Option** ``smpi/finalization-barrier`` **default:** off

By default, SMPI processes are destroyed as soon as soon as their code ends,
so after a successful MPI_Finalize call returns. In some rare cases, some data
might have been attached to MPI objects still active in the remaining processes,
and can be destroyed eagerly by the finished process.
If your code shows issues at finalization, such as segmentation fault, triggering
this option will add an explicit MPI_Barrier(MPI_COMM_WORLD) call inside the
MPI_Finalize, so that all processes will terminate at almost the same point.
It might affect the total timing by the cost of a barrier.

.. _cfg=smpi/errors-are-fatal:

Disable MPI fatal errors
........................

**Option** ``smpi/errors-are-fatal`` **default:** on

By default, SMPI processes will crash if a MPI error code is returned. MPI allows
to explicitely set MPI_ERRORS_RETURN errhandler to avoid this behaviour. This flag
will turn on this behaviour by default (for all concerned types and errhandlers).
This can ease debugging by going after the first reported error.

.. _cfg=smpi/pedantic:

Disable pedantic MPI errors
...........................

**Option** ``smpi/pedantic`` **default:** on

By default, SMPI will report all errors it finds in MPI codes. Some of these errors
may not be considered as errors by all developers. This flag can be turned off to
avoid reporting some usually harmless mistakes.
Concerned errors list (will be expanded in the future):

 - Calling MPI_Win_fence only once in a program, hence just opening an epoch without
   ever closing it.

.. _cfg=smpi/iprobe:

Inject constant times for MPI_Iprobe
....................................

**Option** ``smpi/iprobe`` **default:** 0.0001

The behavior and motivation for this configuration option is identical
with :ref:`smpi/test <cfg=smpi/test>`, but for the function
``MPI_Iprobe()``

.. _cfg=smpi/iprobe-cpu-usage:

Reduce speed for iprobe calls
.............................

**Option** ``smpi/iprobe-cpu-usage`` **default:** 1 (no change)

MPI_Iprobe calls can be heavily used in applications. To account
correctly for the energy that cores spend probing, it is necessary to
reduce the load that these calls cause inside SimGrid.

For instance, we measured a maximum power consumption of 220 W for a
particular application but only 180 W while this application was
probing. Hence, the correct factor that should be passed to this
option would be 180/220 = 0.81.

.. _cfg=smpi/init:

Inject constant times for MPI_Init
..................................

**Option** ``smpi/init`` **default:** 0

The behavior and motivation for this configuration option is identical
with :ref:`smpi/test <cfg=smpi/test>`, but for the function ``MPI_Init()``.

.. _cfg=smpi/ois:

Inject constant times for MPI_Isend()
.....................................

**Option** ``smpi/ois``

The behavior and motivation for this configuration option is identical
with :ref:`smpi/os <cfg=smpi/os>`, but for the function ``MPI_Isend()``.

.. _cfg=smpi/os:

Inject constant times for MPI_send()
....................................

**Option** ``smpi/os``

In several network models such as LogP, send (MPI_Send, MPI_Isend) and
receive (MPI_Recv) operations incur costs (i.e., they consume CPU
time). SMPI can factor these costs in as well, but the user has to
configure SMPI accordingly as these values may vary by machine.  This
can be done by using ``smpi/os`` for MPI_Send operations; for MPI_Isend
and MPI_Recv, use ``smpi/ois`` and ``smpi/or``, respectively. These work
exactly as ``smpi/ois``.

This item can consist of multiple sections; each section takes three
values, for example ``1:3:2;10:5:1``.  The sections are divided by ";"
so this example contains two sections.  Furthermore, each section
consists of three values.

1. The first value denotes the minimum size in bytes for this section to take effect;
   read it as "if message size is greater than this value (and other section has a larger
   first value that is also smaller than the message size), use this".
   In the first section above, this value is "1".

2. The second value is the startup time; this is a constant value that will always
   be charged, no matter what the size of the message. In the first section above,
   this value is "3".

3. The third value is the `per-byte` cost. That is, it is charged for every
   byte of the message (incurring cost messageSize*cost_per_byte)
   and hence accounts also for larger messages. In the first
   section of the example above, this value is "2".

Now, SMPI always checks which section it should use for a given
message; that is, if a message of size 11 is sent with the
configuration of the example above, only the second section will be
used, not the first, as the first value of the second section is
closer to the message size. Hence, when ``smpi/os=1:3:2;10:5:1``, a
message of size 11 incurs the following cost inside MPI_Send:
``5+11*1`` because 5 is the startup cost and 1 is the cost per byte.

Note that the order of sections can be arbitrary; they will be ordered internally.

.. _cfg=smpi/or:

Inject constant times for MPI_Recv()
....................................

**Option** ``smpi/or``

The behavior and motivation for this configuration option is identical
with :ref:`smpi/os <cfg=smpi/os>`, but for the function ``MPI_Recv()``.

.. _cfg=smpi/test:
.. _cfg=smpi/grow-injected-times:

Inject constant times for MPI_Test
..................................

**Option** ``smpi/test`` **default:** 0.0001

By setting this option, you can control the amount of time a process
sleeps when MPI_Test() is called; this is important, because SimGrid
normally only advances the time while communication is happening and
thus, MPI_Test will not add to the time, resulting in deadlock if it is
used as a break-condition as in the following example:

.. code-block:: cpp

   while(!flag) {
       MPI_Test(request, flag, status);
       ...
   }

To speed up execution, we use a counter to keep track of how often we
checked if the handle is now valid or not. Hence, we actually
use counter*SLEEP_TIME, that is, the time MPI_Test() causes the
process to sleep increases linearly with the number of previously
failed tests. This behavior can be disabled by setting
``smpi/grow-injected-times`` to **no**. This will also disable this
behavior for MPI_Iprobe.

.. _cfg=smpi/shared-malloc:
.. _cfg=smpi/shared-malloc-hugepage:

Factorize malloc()s
...................

**Option** ``smpi/shared-malloc`` **Possible values:** global (default), local

If your simulation consumes too much memory, you may want to modify
your code so that the working areas are shared by all MPI ranks. For
example, in a block-cyclic matrix multiplication, you will only
allocate one set of blocks, and all processes will share them.
Naturally, this will lead to very wrong results, but this will save a
lot of memory. So this is still desirable for some studies. For more on
the motivation for that feature, please refer to the `relevant section
<https://simgrid.github.io/SMPI_CourseWare/topic_understanding_performance/matrixmultiplication>`_
of the SMPI CourseWare (see Activity #2.2 of the pointed
assignment). In practice, change the calls for malloc() and free() into
SMPI_SHARED_MALLOC() and SMPI_SHARED_FREE().

SMPI provides two algorithms for this feature. The first one, called
``local``, allocates one block per call to SMPI_SHARED_MALLOC()
(each call site gets its own block) ,and this block is shared
among all MPI ranks.  This is implemented with the shm_* functions
to create a new POSIX shared memory object (kept in RAM, in /dev/shm)
for each shared block.

With the ``global`` algorithm, each call to SMPI_SHARED_MALLOC()
returns a new address, but it only points to a shadow block: its memory
area is mapped on a 1 MiB file on disk. If the returned block is of size
N MiB, then the same file is mapped N times to cover the whole block.
At the end, no matter how many times you call SMPI_SHARED_MALLOC, this will
only consume 1 MiB in memory.

You can disable this behavior and come back to regular mallocs (for
example for debugging purposes) using ``no`` as a value.

If you want to keep private some parts of the buffer, for instance if these
parts are used by the application logic and should not be corrupted, you
can use SMPI_PARTIAL_SHARED_MALLOC(size, offsets, offsets_count). For example:

.. code-block:: cpp

   mem = SMPI_PARTIAL_SHARED_MALLOC(500, {27,42 , 100,200}, 2);

This will allocate 500 bytes to mem, such that mem[27..41] and
mem[100..199] are shared while other area remain private.

Then, it can be deallocated by calling SMPI_SHARED_FREE(mem).

When smpi/shared-malloc:global is used, the memory consumption problem
is solved, but it may induce too much load on the kernel's pages table.
In this case, you should use huge pages so that the kernel creates only one
entry per MB of malloced data instead of one entry per 4 kB.
To activate this, you must mount a hugetlbfs on your system and allocate
at least one huge page:

.. code-block:: console

    $ mkdir /home/huge
    $ sudo mount none /home/huge -t hugetlbfs -o rw,mode=0777
    $ sudo sh -c 'echo 1 > /proc/sys/vm/nr_hugepages' # echo more if you need more

Then, you can pass the option
``--cfg=smpi/shared-malloc-hugepage:/home/huge`` to smpirun to
actually activate the huge page support in shared mallocs.

.. _cfg=smpi/auto-shared-malloc-thresh:

Automatically share allocations
...............................

**Option** ``smpi/auto-shared-malloc-thresh:`` **Default:** 0 (false)
   This value in bytes represents the size above which all allocations
   will be "shared" by default (as if they were performed through
   SMPI_SHARED_MALLOC macros). Default = 0 = disabled feature.
   The value must be carefully chosen to only select data buffers which
   will not modify execution path or cause crash if their content is false.
   Option :ref:`cfg=smpi/display-allocs` can be used to locate the largest
   allocation detected in a run, and provide a good starting threshold.
   Note : malloc, calloc and free are overridden by smpicc/cxx by default.
   This can cause some troubles if codes are already overriding these. If this
   is the case, defining SMPI_NO_OVERRIDE_MALLOC in the compilation flags can
   help, but will make this feature unusable.

.. _cfg=smpi/wtime:

Inject constant times for MPI_Wtime, gettimeofday and clock_gettime
...................................................................

**Option** ``smpi/wtime`` **default:** 10 ns

This option controls the amount of (simulated) time spent in calls to
MPI_Wtime(), gettimeofday() and clock_gettime(). If you set this value
to 0, the simulated clock is not advanced in these calls, which leads
to issues if your application contains such a loop:

.. code-block:: cpp

   while(MPI_Wtime() < some_time_bound) {
        /* some tests, with no communication nor computation */
   }

When the option smpi/wtime is set to 0, the time advances only on
communications and computations. So the previous code results in an
infinite loop: the current [simulated] time will never reach
``some_time_bound``.  This infinite loop is avoided when that option
is set to a small value, as it is by default since SimGrid v3.21.

Note that if your application does not contain any loop depending on
the current time only, then setting this option to a non-zero value
will slow down your simulations by a tiny bit: the simulation loop has
to be broken out of and reset each time your code asks for the current time.
If the simulation speed really matters to you, you can avoid this
extra delay by setting smpi/wtime to 0.

.. _cfg=smpi/list-leaks:

Report leaked MPI objects
.........................

**Option** ``smpi/list-leaks`` **default:** 0

This option controls whether to report leaked MPI objects.
The parameter is the number of leaks to report.

Other Configurations
--------------------

.. _cfg=debug/clean-atexit:

Cleanup at Termination
......................

**Option** ``debug/clean-atexit`` **default:** on

If your code is segfaulting during its finalization, it may help to
disable this option to request that SimGrid not attempt any cleanups at
the end of the simulation. Since the Unix process is ending anyway,
the operating system will wipe it all.

.. _cfg=debug/lmm-leaks:

Cleanup at Termination
......................

**Option** ``debug/lmm-leaks`` **default:** off

Under some conditions, not all LMM variables are cleaned at the end of the simulation. As this is most certainly due to a bug,
you may want to activate this option to get more information about the leaked variables. Note that taking all the system
backtraces will hurt the performance of your simulation.

.. _cfg=path:

Search Path
...........

**Option** ``path`` **default:** . (current dir)

It is possible to specify a list of directories to search in for the
trace files (see :ref:`pf_trace`) by using this configuration
item. To add several directory to the path, set the configuration
item several times, as in ``--cfg=path:toto --cfg=path:tutu``

.. _cfg=debug/breakpoint:

Set a Breakpoint
................

**Option** ``debug/breakpoint`` **default:** unset

This configuration option sets a breakpoint: when the simulated clock
reaches the given time, a SIGTRAP is raised.  This can be used to stop
the execution and get a backtrace with a debugger.

It is also possible to set the breakpoint from inside the debugger, by
writing in global variable simgrid::kernel::cfg_breakpoint. For example,
with gdb:

.. code-block:: none

   set variable simgrid::kernel::cfg_breakpoint = 3.1416

.. _cfg=debug/verbose-exit:

Behavior on Ctrl-C
..................

**Option** ``debug/verbose-exit`` **default:** on

By default, when Ctrl-C is pressed, the status of all existing actors
is displayed before exiting the simulation. This is very useful to
debug your code, but it can become troublesome if you have many
actors. Set this configuration item to **off** to disable this
feature.

.. _cfg=exception/cutpath:

Truncate local path from exception backtrace
............................................

**Option** ``exception/cutpath`` **default:** off

This configuration option is used to remove the path from the
backtrace shown when an exception is thrown. This is mainly useful for
the tests: the full file path would makes the tests non-reproducible because
the paths of source files depend of the build settings. That would
break most of the tests since their output is continually compared.

.. _cfg=debug/fullstack:

Trim the exception backtrace
----------------------------

**Option** ``debug/fullstack`` **default:** on

By default, the exception backtrace is trimmed to remove internal symbols that are useless and troubling for the user, but it
may happen that this trimming feature is buggy on some architectures. This may be as bad as completely empty stack traces. This
option is intended for the users facing such issue, allowing them to request complete, untrimmed stack traces. The result will
contain cruft, but at least not being completely empty.

.. _logging_config:

Logging configuration
---------------------

As introduced in :ref:`outcome_logs`, the SimGrid logging mechanism allows to configure at runtime the messages that should be displayed and those that should be omitted. Each
message produced in the code is given a category (denoting its topic) and a priority. Then at runtime, each category is given a threshold (only messages of priority higher than
that threshold are displayed), a layout (deciding how the messages in this category are formatted), and an appender (deciding what to do with the message: either print on stderr or
to a file).

This section explains how to configure this logging features. You can also refer to the documentation of the :ref:`programmer's interface <logging_prog>`, that allows to produce
messages from your code.

Most of the time, the logging mechanism is configured at runtime using the ``--log`` command-line argument, even if you can also use :c:func:`xbt_log_control_set()` to control it from
your program. To pass configure more than one setting, you can either pass several ``--log`` arguments, or separate your settings with spaces, that must be quoted accordingly. In
practice, the following is equivalent to the above settings: ``--log=root.thresh:error --log=s4u_host.thresh:debug``.

If you want to specify more than one setting, you can either pass several ``--log`` argument to your program as above, or separate them with spaces. In this case, you want to quote
your settings, as in ``--log="root.thresh:error s4u_host.thresh:debug"``. The parameters are interpreted in order, from left to right.


Threshold configuration
.......................

The keyword ``threshold`` controls which logging event will get displayed in a given category. For example, ``--log=root.threshold:debug`` displays *every* message produced in the
``root`` category and its subcategories (i.e., every message produced -- this is *extremely* verbose), while ``--log=root.thres:critical`` turns almost everything off. As you can
see, ``threshold`` can be abbreviated here.

Existing thresholds:

 - ``trace`` some functions display a message at this level when entering or returning
 - ``debug`` output that is mostly useful when debugging the corresponding module.
 - ``verbose`` verbose output that is only mildly interesting and can easily be ignored
 - ``info`` usual output (this is the default threshold of all categories)
 - ``warning`` minor issue encountered
 - ``error`` issue encountered
 - ``critical`` major issue encountered, such as assertions failures

.. _log/fmt:

Format configuration
....................

The keyword ``fmt`` controls the layout (the format) of a logging category. For example, ``--log=root.fmt:%m`` reduces the output to the user-message only, removing any decoration such
as the date, or the actor ID, everything. Existing format directives:

 - %%: the % char
 - %n: line separator (LOG4J compatible)
 - %e: plain old space (SimGrid extension)

 - %m: user-provided message

 - %c: Category name (LOG4J compatible)
 - %p: Priority name (LOG4J compatible)

 - %h: Hostname (SimGrid extension)
 - %a: Actor name (SimGrid extension -- note that with SMPI this is the integer value of the process rank)
 - %i: Actor PID (SimGrid extension -- this is a 'i' as in 'i'dea)
 - %I: system PID (the result of the UNIX getpid() function -- only useful if your simulation forks at the system level)
 - %t: Thread "name" (LOG4J compatible -- actually the address of the thread in memory)

 - %F: file name where the log event was raised (LOG4J compatible)
 - %l: location where the log event was raised (LOG4J compatible, like '%%F:%%L' -- this is a l as in 'l'etter)
 - %L: line number where the log event was raised (LOG4J compatible)
 - %M: function name (LOG4J compatible -- called method name here of course).

 - %d: date (UNIX-like epoch)
 - %r: application age (time elapsed since the beginning of the application)


``--log=root.fmt:'[%h:%a:(%i) %r] %l: %m%n'`` gives you the default layout used for info messages while ``--log=root.fmt:'[%h:%a:(%i) %r] %l: [%c/%p] %m%n'`` gives you the default
layout for the other priorities (it adds the source code location). Also, the actor identification is omitted by the default layout for the messages coming directly from the
SimGrid kernel, so info messages are formatted with ``[%r] [%c/%p] %m%n`` in this case. When specifying the layout manually, such distinctions are currently impossible, and the
provided layout is used for every messages.

As with printf, you can specify the precision and width of the fields. For example, ``%.4r`` limits the date precision to four digits while ``%15h`` limits the host name to at most
15 chars.


If you want to have spaces in your log format, you should protect it. Otherwise, SimGrid will consider that this is a space-separated list of several parameters. But you should
also protect it from the shell that also splits command line arguments on spaces. At the end, you should use something such as ``--log="'root.fmt:%l: [%p/%c]: %m%n'"``.
Another option is to use the ``%e`` directive for spaces, as in ``--log=root.fmt:%l:%e[%p/%c]:%e%m%n``.

Category appender
.................

The keyword ``app`` controls the appended of a logging category. For example ``--log=root.app:file:mylogfile`` redirects every output to the file ``mylogfile``.

With the ``splitfile`` appender, a new file is created when the size of the output reaches the specified size. The format is ``--log=root.app:splitfile:<size>:<file name>``. For
example, ``--log=root.app:splitfile:500:mylog_%`` creates log files of at most 500 bytes, using the names ``mylog_0``, ``mylog_1``, ``mylog_2``, etc.

The ``rollfile`` appender uses one file only, but the file is emptied and recreated when its size reaches the specified maximum. For example, ``--log=root.app:rollfile:500:mylog``
ensures that the log file ``mylog`` will never overpass 500 bytes in size.

Any appender setup this way have its own layout format, that you may change afterward. When specifying a new appender, its additivity is set to false to prevent log event displayed
by this appender to "leak" to any other appender higher in the hierarchy. You can naturally change that if you want your messages to be displayed twice.

Category additivity
...................

The keyword ``add`` controls the additivity of a logging category. By default, the messages are only passed one appender only: the more specific, i.e. the first one found when
climbing the tree from the category in which they were produced. In Log4J parlance, it is said that the default additivity of appenders is false. If you change this setting to
``on`` (or ``yes`` or ``1``), the produced messages will also be passed to the upper appender.

Let's consider a more complex example: ``--log="root.app:file:all.log s4u.app:file:iface.log xbt.app:file:xbt.log xbt.add:yes``. Here, the logging of s4u will be sent to the
``iface.log`` file; the logging of the xbt toolbox will be sent to both the ``xbt.log`` file and the ``all.log`` file (because xbt additivity was enabled); and every other loggings
will only be sent to ``all.log``.

Other options
.............

``--help-logs`` displays a complete help message about logging in SimGrid.

``--help-log-categories`` displays the actual hierarchy of log categories for this binary.

``--log=no_loc`` hides the source locations (file names and line numbers) from the messages. This is useful to make tests reproducible.


.. |br| raw:: html

   <br />