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Merge pull request #3117 from radical-cybertools/feature/pilot_resources
application level scheduling
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#!/usr/bin/env python3 | ||
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__copyright__ = 'Copyright 2013-2014, http://radical.rutgers.edu' | ||
__license__ = 'MIT' | ||
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import sys | ||
import time | ||
import random | ||
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import radical.pilot as rp | ||
import radical.utils as ru | ||
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if True: | ||
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n_nodes = 9472 | ||
gpus_per_node = 8 | ||
cores_per_node = 64 | ||
mem_per_node = 512 | ||
lfs_per_node = 1920 | ||
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n_tasks = 10000 | ||
ranks_per_task = 2 | ||
cores_per_task = 16 | ||
gpus_per_task = 2 | ||
mem_per_task = 0 | ||
lfs_per_task = 0 | ||
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nodes = [{'index' : i, | ||
'name' : 'node_%05d' % i, | ||
'cores' : [rp.RO(index=x, occupation=rp.FREE) | ||
for x in range(cores_per_node)], | ||
'gpus' : [rp.RO(index=x, occupation=rp.FREE) | ||
for x in range(gpus_per_node)], | ||
'lfs' : lfs_per_node, | ||
'mem' : mem_per_node | ||
} for i in range(n_nodes)] | ||
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nl = rp.NodeList(nodes=[rp.NodeResources(ni) for ni in nodes]) | ||
rr = rp.RankRequirements(n_cores=cores_per_task, | ||
n_gpus=gpus_per_task, | ||
mem=mem_per_task, | ||
lfs=lfs_per_task) | ||
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allocs = list() | ||
start = time.time() | ||
for i in range(n_tasks): | ||
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slots = nl.find_slots(rr, n_slots=ranks_per_task) | ||
if slots: | ||
allocs.append(slots) | ||
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if allocs and random.random() < 0.5: | ||
to_release = random.choice(allocs) | ||
allocs.remove(to_release) | ||
nl.release_slots(to_release) | ||
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stop = time.time() | ||
print('find_slots: %.2f' % (stop - start)) | ||
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for slots in allocs: | ||
nl.release_slots(slots) | ||
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for _ in range(5): | ||
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slots = nl.find_slots(rp.RankRequirements(n_cores=1, | ||
core_occupation=0.5)) | ||
print(slots) | ||
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sys.exit() | ||
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# ------------------------------------------------------------------------------ | ||
# | ||
if __name__ == '__main__': | ||
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report = ru.Reporter(name='radical.pilot') | ||
report.title('pilot resource example') | ||
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session = rp.Session() | ||
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try: | ||
pmgr = rp.PilotManager(session=session) | ||
tmgr = rp.TaskManager(session=session) | ||
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report.header('submit pilots') | ||
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pd_init = {'resource': 'local.localhost', | ||
'runtime' : 15, | ||
'nodes' : 1} | ||
pdesc = rp.PilotDescription(pd_init) | ||
pilot = pmgr.submit_pilots(pdesc) | ||
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tmgr.add_pilots(pilot) | ||
pilot.wait([rp.PMGR_ACTIVE, rp.FAILED]) | ||
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n = 1 | ||
report.header('submit %d tasks' % n) | ||
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tds = list() | ||
for i in range(n): | ||
# slots = pilot.nodelist.find_slots(rp.RankRequirements(n_cores=1, | ||
# lfs=512), | ||
# n_slots=2) | ||
# | ||
# print() | ||
# if slots: | ||
# for slot in slots: | ||
# print('=== %s' % slots) | ||
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td = rp.TaskDescription() | ||
td.executable = '/bin/date' | ||
td.ranks = 2 | ||
td.cores_per_rank = 2 | ||
# td.slots = slots | ||
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tds.append(td) | ||
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tasks = tmgr.submit_tasks(tds) | ||
tmgr.wait_tasks() | ||
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import pprint | ||
for task in tasks: | ||
print(' * %s: %s [%s], %s' % (task.uid, task.state, task.exit_code, | ||
task.stdout.strip())) | ||
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print() | ||
for slot in task.slots: | ||
print(slot) | ||
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finally: | ||
report.header('finalize') | ||
session.close(download=True) | ||
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report.header() | ||
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# ------------------------------------------------------------------------------ | ||
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