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// This file is part of BOINC.
// http://boinc.berkeley.edu
// Copyright (C) 2023 University of California
//
// BOINC is free software; you can redistribute it and/or modify it
// under the terms of the GNU Lesser General Public License
// as published by the Free Software Foundation,
// either version 3 of the License, or (at your option) any later version.
//
// BOINC is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
// See the GNU Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with BOINC. If not, see <http://www.gnu.org/licenses/>.
// logic for handling sporadic jobs
//
// Currently sporadic jobs have priority over others.
// In particular, they can preempt jobs that
// - are in danger of missing their deadline
// - have done a lot of computing and haven't checkpointed
// - are from projects with a resource share debt
// At some point we should fix this.
// Apps can be
// regular: jobs compute when running
// sporadic: jobs run all the time but compute only part of the time
// non-CPU-intensive (NCI): jobs run all the time but don't compute
//
// Projects can have any or all of these, and this can change over time.
// A project is flagged as NCI if it has only NCI apps;
// in that case it's omitted from resource share calculations.
// Note: the client and app communicate via 1-way streams
// that are polled once/sec.
// This introduces potential uncertainty:
// if we send the app a message,
// once second later we don't know if it received the message and responded.
// To avoid this problem, when we send a message to an app
// we ignore its messages for the next 2.5 seconds.
// Perhaps a better approach would be to use sequence numbers and acks.
//
// states and transitions:
// CA_DONT_COMPUTE
// computing is suspended, or insufficient resources
// transitions:
// to COULD_COMPUTE when these no longer hold
// CA_COULD_COMPUTE
// not computing, but could
// transitions:
// to CA_DONT_COMPUTE if computing suspended or insufficient resources
// to CA_COMPUTING if get AC_WANT_COMPUTE
// CA_COMPUTING
// job can compute (and is, as far as we know)
// transitions:
// to CA_DONT_COMPUTE if computing suspended or insufficient resources
// to CA_DONT_COMPUTE if get AC_DONT_WANT_COMPUTE or AC_NONE
// (after timeout - see above)
//
// Interaction with the batch scheduler:
// If we make a transition that changes resource usage,
// request a reschedule to start/stop batch jobs
// The batch scheduler subtracts resources used by sporadic jobs
// Coprocs:
// If batch jobs are using GPUs, it may take them a few seconds to exit.
// Sporadic jobs that use GPUs should delay for a few seconds at start,
// and retry failed VRAM allocations.
//
#include "coproc.h"
#include "client_state.h"
#include "client_msgs.h"
#include "coproc_sched.h"
#include "result.h"
#include "app.h"
#define SPORADIC_MSG_DELAY 2.5
SPORADIC_RESOURCES sporadic_resources;
void SPORADIC_RESOURCES::print() {
if (!ncpus_used) return;
msg_printf(NULL, MSG_INFO, "Sporadic resources:");
msg_printf(NULL, MSG_INFO, " %f CPUs", ncpus_used);
msg_printf(NULL, MSG_INFO, " %f MB RAM", mem_used/MEGA);
for (int i=1; i<sr_coprocs.n_rsc; i++) {
COPROC& cp = sr_coprocs.coprocs[i];
for (int j=0; j<cp.count; j++) {
if (cp.usage[j] > 0) {
msg_printf(NULL, MSG_INFO, " GPU %s instance %d: %f\n",
cp.type, j, cp.usage[j]
);
}
}
}
}
// is computing suspended for this job?
//
static bool computing_suspended(ACTIVE_TASK *atp) {
if (gstate.suspend_reason) return true;
if (atp->result->uses_gpu() && gpu_suspend_reason) return true;
return false;
}
// polling routine, called once/sec
void CLIENT_STATE::sporadic_poll() {
sporadic_resources.init_poll();
sporadic_resources.mem_max = available_ram();
sporadic_resources.ncpus_max = n_usable_cpus;
bool changed_active = false;
// whether we need to reschedule regular jobs
// find jobs that are active but shouldn't be
// (CA_COMPUTING -> CA_NONE transitions)
//
for (ACTIVE_TASK *atp: active_tasks.active_tasks) {
if (!atp->sporadic()) continue;
if (atp->sporadic_ca_state != CA_COMPUTING) continue;
// the job is in state CA_COMPUTING
// see if the job needs to stop computing
if (computing_suspended(atp)) {
atp->sporadic_ca_state = CA_NONE;
changed_active = true;
if (log_flags.sporadic_debug) {
msg_printf(atp->result->project, MSG_INFO,
"[sporadic] preempting %s: computing suspended",
atp->result->name
);
}
} else if (!sporadic_resources.enough(atp)) {
// this could happen if user prefs change
atp->sporadic_ca_state = CA_NONE;
changed_active = true;
if (log_flags.sporadic_debug) {
msg_printf(atp->result->project, MSG_INFO,
"[sporadic] preempting %s: insufficient resources",
atp->result->name
);
}
} else if (atp->sporadic_ac_state != AC_WANT_COMPUTE) {
if (now > atp->sporadic_ignore_until) {
atp->sporadic_ca_state = CA_NONE;
changed_active = true;
if (log_flags.sporadic_debug) {
msg_printf(atp->result->project, MSG_INFO,
"[sporadic] %s: app is done computing",
atp->result->name
);
}
}
}
// the job can keep computing - reserve its resources
if (atp->sporadic_ca_state == CA_COMPUTING) {
sporadic_resources.reserve(atp);
}
}
// activate jobs as needed
// (CA_COULD_COMPUTE -> CA_COMPUTING transitions)
//
for (ACTIVE_TASK *atp: active_tasks.active_tasks) {
if (!atp->sporadic()) continue;
if (atp->sporadic_ca_state != CA_COULD_COMPUTE) continue;
if (computing_suspended(atp)) {
atp->sporadic_ca_state = CA_DONT_COMPUTE;
if (log_flags.sporadic_debug) {
msg_printf(atp->result->project, MSG_INFO,
"[sporadic] %s can no longer compute: suspended",
atp->result->name
);
}
} else if (!sporadic_resources.enough(atp)) {
atp->sporadic_ca_state = CA_DONT_COMPUTE;
if (log_flags.sporadic_debug) {
msg_printf(atp->result->project, MSG_INFO,
"[sporadic] %s can no longer compute: insufficient resources",
atp->result->name
);
}
} else if (atp->sporadic_ac_state == AC_WANT_COMPUTE) {
if (now > atp->sporadic_ignore_until) {
atp->sporadic_ca_state = CA_COMPUTING;
atp->sporadic_ignore_until = now + SPORADIC_MSG_DELAY;
sporadic_resources.reserve(atp);
changed_active = true;
if (log_flags.sporadic_debug) {
msg_printf(atp->result->project, MSG_INFO,
"[sporadic] starting %s",
atp->result->name
);
}
}
}
}
// assign states to initial, preempted, and done jobs
//
for (ACTIVE_TASK *atp: active_tasks.active_tasks) {
if (!atp->sporadic()) continue;
if (atp->sporadic_ca_state != CA_NONE) continue;
if (computing_suspended(atp)) {
atp->sporadic_ca_state = CA_DONT_COMPUTE;
if (log_flags.sporadic_debug) {
msg_printf(atp->result->project, MSG_INFO,
"[sporadic] %s can't compute: suspended",
atp->result->name
);
}
} else if (!sporadic_resources.enough(atp)) {
atp->sporadic_ca_state = CA_DONT_COMPUTE;
if (log_flags.sporadic_debug) {
msg_printf(atp->result->project, MSG_INFO,
"[sporadic] %s can't compute: insufficient resources",
atp->result->name
);
}
} else {
atp->sporadic_ca_state = CA_COULD_COMPUTE;
if (log_flags.sporadic_debug) {
msg_printf(atp->result->project, MSG_INFO,
"[sporadic] %s can compute",
atp->result->name
);
}
}
}
if (changed_active) {
request_schedule_cpus("sporadic apps changed state");
}
if (log_flags.sporadic_debug) {
sporadic_resources.print();
}
}
void CLIENT_STATE::sporadic_init() {
sporadic_resources.init();
}
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