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SSjobrunner.py
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SSjobrunner.py
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import threading
import subprocess
import os
import numpy
import random
from SSlogger import SSLogger
from SSconfig import SSConfig as CFG
class SSJobBinder(threading.Thread):
def __init__(self, name, corelist):
super().__init__()
self.name = name
self.corelist = corelist
def run(self):
pfind = subprocess.run(['ps', '-a'], stdout=subprocess.PIPE, stderr=subprocess.DEVNULL)
for line in pfind.stdout:
ss = line.decode('utf-8').strip().split()
print(ss)
class SSJobRunner(threading.Thread):
def __init__(self, hostname, jobspec, name='JobRunner'):
super().__init__()
self.jobspec = jobspec
self.hostname = hostname
self.logger = SSLogger(name)
# results for parent
self.returns = dict()
# cores[i] = jobid, jobid uses this i-th core
# ways[i] = jobid, jobid uses this i-th way
# return a string for CAT 'pqos -s; pqos -a', e.g.
# sudo pqos -e "llc:1=0xffff0;llc:2=0x0000f"
# sudo pqos -a "llc:1=0-7;llc:2=8-27" # bic03,bic04
def getCATString(self, cores, ways):
self.logger.debug('cores:', cores)
self.logger.debug('ways:', ways)
jobids = set(ways) # what jobs are explicitly using LLC
if -1 in jobids:
jobids.remove(-1) # -1 means no job
if len(jobids) == 0: # no CAT, reset. For LLC-unaware policies like CE and CS
return [['ssh', 'root@' + self.hostname, 'pqos -R']]
# give the spare ways to jobs
jobids = list(jobids)
for i, jid in enumerate(ways):
if jid == -1:
ways[i] = jobids[i % len(jobids)]
# sort the ways with jobid to make each COS use contigious range
ways.sort()
# make CAT decision
cos = []
for jobid in jobids:
cos.append({'cores': [], 'ways': []})
for c, jid in enumerate(cores):
if jobid == jid:
cos[-1]['cores'].append(c)
for w, jid in enumerate(ways):
if jobid == jid:
cos[-1]['ways'].append(w)
pqosE = []
pqosA = []
for i, c in enumerate(cos):
s = hex(int(''.join(['1' if x in c['ways'] else '0' for x in range(19,-1,-1)]), 2))
pqosE.append('llc:%d=%s' % (i+1, s))
pqosA.append('llc:%d=%s' % (i+1, ','.join(str(x) for x in c['cores'])))
pqosEcmd = 'pqos -e "%s"' % (';'.join(pqosE))
pqosAcmd = 'pqos -a "%s"' % (';'.join(pqosA))
return [['ssh', 'root@' + self.hostname, pqosEcmd], ['ssh', 'root@' + self.hostname, pqosAcmd]]
# the command use to launch the program
def getLaunchString(self, jobspec):
fm = jobspec['jobattr']['framework']
if fm == 'MPI' or fm == 'Spark':
if jobspec['leadnode'] != self.hostname:
return (None, None)
elif fm == 'TensorFlow':
assert(len(jobspec['affinity']) == 1)
pass
affs = dict()
for host, corelist in jobspec['affinity'].items():
affs[host] = []
for c, jid in enumerate(corelist):
if jobspec['jobid'] == jid:
affs[host].append(str(c))
envs = dict()
# running commands
# format prog-nproc, e.g. mg-16, bfs-32
prog, nproc = jobspec['jobattr']['jobname'].split('-')
assert(int(nproc) == jobspec['jobattr']['parallelism'])
prog = prog.lower()
# env vars for MPI on bic
if fm == 'MPI':
envs['I_MPI_SHM_LMT'] = 'shm'
envs['I_MPI_DAPL_PROVIDER'] = 'ofa-v2-ib0'
# env vars for Spark on bic
if prog in ['mg', 'lu', 'ep', 'cg']: # four NPB programs
exePath = '%s/%s.D.%s' % (CFG.RUN['exe_path']['npb'], prog, nproc)
# mpirun -host bic05 -env I_MPI_PIN_PROCESSOR_LIST=1,2,3,4,5,6,7,9 -n 8 ./mg.D.16 : -host bic06 -env I_MPI_PIN_PROCESSOR_LIST=15,16,17,18,19,20,21,22 -n 8 ./mg.D.16
exeCmd = ['mpirun']
for host, corelist in affs.items():
exeCmd.extend(['-host', host, '-env', 'I_MPI_PIN_PROCESSOR_LIST=%s' % ','.join(corelist), '-n', str(len(corelist)), exePath, ':'])
exeCmd.pop(-1)
elif prog in ['ts', 'wc', 'nw']: # three spark programs
spark_master = str(int(jobspec['leadnode'][-2:]))
exePath = '%s/%s.sh' % (CFG.RUN['exe_path']['spark'], prog)
exeCmd = [exePath, spark_master]
for host, corelist in affs.items():
exeCmd.extend([host, str(len(corelist)), ','.join(corelist)])
#self.logger.warn(exeCmd)
self.logger.warn('%s: %s' % (prog, ' '.join(exeCmd)))
elif prog in ['bfs']: # graph program
exePath = CFG.RUN['exe_path'][prog]
exeCmd = ['mpirun']
for host, corelist in affs.items():
exeCmd.extend(['-host', host, '-env', 'I_MPI_PIN_PROCESSOR_LIST=%s' % ','.join(corelist), '-n', str(len(corelist)), exePath, '24', '16', ':'])
exeCmd.pop(-1)
elif prog in ['hc', 'bw']: # two speccpu programs
exePath = CFG.RUN['exe_path'][prog]
exeCmd = ['mpirun']
for host, corelist in affs.items():
exeCmd.extend(['-host', host, '-env', 'I_MPI_PIN_PROCESSOR_LIST=%s' % ','.join(corelist), '-n', str(len(corelist)), exePath, ':'])
exeCmd.pop(-1)
# TODO, wrap the jobs and move this cd operation to wrapper scripts
os.chdir(CFG.RUN['exe_dir'][prog])
elif prog in ['gan', 'rnn']: # two tensorflow programs
exePath = CFG.RUN['exe_path'][prog]
assert(len(affs) == 1) # should run on only one node
for host, corelist in affs.items():
exeCmd = [exePath, str(len(corelist)), ','.join(corelist)]
#self.logger.warn(' '.join(exeCmd))
else:
assert(False)
return (envs, exeCmd)
def getProfileString(self, jobspec):
if not jobspec['toprofile'] or jobspec['leadnode'] != self.hostname:
return None
return [CFG.RUN['deploy_path'] + 'SSmonitor.py']
def run(self):
#self.logger.warn(self.jobspec)
jobname = self.jobspec['jobattr']['jobname']
self.logger.debug('Run:', jobname)
# CAT configuration
catCmds = self.getCATString(self.jobspec['coremap'], self.jobspec['llcwaymap'])
for catCmd in catCmds:
#self.logger.warn('CAT CMD:', ' '.join(catCmd))
#subprocess.run(catCmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
subprocess.run(catCmd, stdout=subprocess.DEVNULL)
# start the profiler (if needed)
profCmd = self.getProfileString(self.jobspec)
if profCmd:
self.logger.debug('PROF CMD:', ' '.join(profCmd))
#pPorfiler = subprocess.Popen(profCmd, stdout=subprocess.PIPE, stderr=subprocess.DEVNULL)
pPorfiler = subprocess.Popen(profCmd, stdout=subprocess.PIPE)
# run the executable
evns, exeCmd = self.getLaunchString(self.jobspec)
if evns:
for k, v in evns.items():
os.environ[k] = v
if exeCmd:
self.logger.debug('EXE CMD:', ' '.join(exeCmd))
pRun = subprocess.run(exeCmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
#pRun = subprocess.run(exeCmd, stdout=subprocess.DEVNULL)#, stderr=subprocess.DEVNULL)
self.returns['exitcode'] = pRun.returncode
self.logger.debug('EXE Done:', exeCmd)
# back to deploy path
os.chdir(CFG.RUN['deploy_path'])
# terminate the profiler, sort out the result, and return to daemon to be sent to master
if profCmd:
self.logger.debug('check profile results')
pPorfiler.terminate()
# llcway ipc mbw
ipcs, mbws = [], []
for _ in range(0, 1+CFG.CLUSTER['llcway_per_node']):
ipcs.append([])
mbws.append([])
for line in pPorfiler.stdout:
ss = line.decode('utf-8').strip().split()
#self.logger.debug(line)
if len(ss) != 3:
break
w, ipc, mbw = int(ss[0]), float(ss[1]), float(ss[2])
ipcs[w].append(ipc)
mbws[w].append(mbw)
for w in range(0, 1+CFG.CLUSTER['llcway_per_node']):
ipcs[w] = numpy.average(ipcs[w]) if len(ipcs[w]) else -1
mbws[w] = numpy.average(mbws[w]) if len(mbws[w]) else -1
# linear interpolation
# self.logger.warn(CFG.PROF['sample_ways'])
for i in range(0, len(CFG.PROF['sample_ways'])-1):
cur_w, next_w = CFG.PROF['sample_ways'][i], CFG.PROF['sample_ways'][i+1]
#self.logger.warn('cur_w %d, next_w %d' % (cur_w, next_w))
for k in range(min(cur_w, next_w) + 1, max(cur_w, next_w)):
#self.logger.warn(k, ipcs)
ipcs[k] = ipcs[next_w] + (ipcs[cur_w]-ipcs[next_w])/(cur_w-next_w) * (k-next_w)
mbws[k] = mbws[next_w] + (mbws[cur_w]-mbws[next_w])/(cur_w-next_w) * (k-next_w)
self.logger.warn(ipcs)
self.returns['ipcs'] = ipcs
self.returns['mbws'] = mbws
self.logger.echo('RETURNS', self.returns)