1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
|
Task: Distributed Computing
Install: true
Description: Debian Science Distributed Computing packages
This metapackage will install Debian Science packages useful for
various types of distributed computing, such as grid-, cloud-, cluster-
and parallel-computing.
Recommends: ipython3
Why: Provides ipcluster/ipcontroller/ipengine for Python-based distributed
computing
Recommends: nordugrid-arc-client
Recommends: gridengine-client, gridengine-exec, gridengine-master, gridengine-qmon
Recommends: globus-core
Recommends: openmpi-bin, mpich
Recommends: openmpipython, mpich2python
Suggests: hpcc
Recommends: htcondor
Suggests: coop-computing-tools
Published-Authors: Douglas Thain, Christopher Moretti, and Jeffrey Hemmes
Published-DOI: 10.1007/s10723-008-9100-5
Published-In: Journal of Grid Computing, 7, 51-72
Published-Title: Chirp: A Practical Global Filesystem for Cluster and Grid Computing
Published-Year: 2009
Suggests: python3-mpi4py
; Added by blends-inject 0.0.7. [Please note here if modified manually]
Recommends: dmtcp
Published-Authors: Jason Ansel, Kapil Arya, and Gene Cooperman
Published-In: 23rd IEEE International Parallel and Distributed Processing Symposium (IPDPS'09).
Published-Title: DMTCP: Transparent Checkpointing for Cluster Computations and the Desktop
Published-Year: 2009
; Added by blends-inject 0.0.7. [Please note here if modified manually]
Suggests: psom
Homepage: http://code.google.com/p/psom/
Language: Matlab/Octave
Responsible: NeuroDebian Team <team@neuro.debian.net>
License: MIT/Expat
Pkg-Description: pipeline system for Octave and Matlab
PSOM is a lightweight library to manage complex multi-stage data processing. A
pipeline is a collection of jobs, i.e. Matlab or Octave code with a well
identified set of options that are using files for inputs and outputs. To
use PSOM, the only requirement is to generate a description of a pipeline in
the form of a simple Matlab/Octave structure. PSOM then automatically offers
the following services:
.
* Run jobs in parallel using multiple CPUs or within a distributed computing
environment.
* Generate log files and keep track of the pipeline execution. These logs are
detailed enough to fully reproduce the analysis.
* Handle job failures: successful completion of jobs is checked and failed
jobs can be restarted.
* Handle updates of the pipeline: change options or add jobs and let PSOM
figure out what to reprocess.
Recommends: environment-modules
Recommends: python3-scoop
|
