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slurm_cluster_status_diamond.py
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slurm_cluster_status_diamond.py
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#!/usr/bin/python
"""
slurm_cluster_status_diamond.py
A script to get general slurm cluster statistics.
"""
import sys,os,json,subprocess,shlex
import diamond.collector
class SlurmClusterStatusCollector(diamond.collector.Collector):
def get_default_config(self):
"""
Returns the default collector settings
"""
config = super(SlurmClusterStatusCollector, self).get_default_config()
config.update({
'path': 'lsload'
})
return config
def collect(self):
try:
proc = subprocess.Popen([
'scontrol',
'-o', 'show', 'node'
], stdout=subprocess.PIPE,
universal_newlines=True)
except:
return
else:
#Zero out counters
CPUTot=0
CPULoad=0
CPUAlloc=0
RealMem=0
MemAlloc=0
MemLoad=0
GPUTot=0
GPUAlloc=0
NodeTot=0
IDLETot=0
DOWNTot=0
DRAINTot=0
MIXEDTot=0
ALLOCTot=0
RESTot=0
COMPTot=0
IDLECPU=0
MIXEDCPU=0
ALLOCCPU=0
COMPCPU=0
RESCPU=0
DRAINCPU=0
DOWNCPU=0
IDLEMem=0
MIXEDMem=0
ALLOCMem=0
COMPMem=0
DRAINMem=0
DOWNMem=0
RESMem=0
IDLEGPU=0
MIXEDGPU=0
ALLOCGPU=0
COMPGPU=0
DRAINGPU=0
DOWNGPU=0
RESGPU=0
PerAlloc=0
tcpu={'interlagos': 0, 'abudhabi': 0, 'ivybridge': 0, 'haswell': 0, 'broadwell': 0, 'skylake': 0, 'rome': 0, 'cascadelake': 0}
ucpu={'interlagos': 0, 'abudhabi': 0, 'ivybridge': 0, 'haswell': 0, 'broadwell': 0, 'skylake': 0, 'rome': 0, 'cascadelake': 0}
tgpu={'1080': 0, 'k20m': 0, 'k40m': 0, 'k80': 0, 'titanx': 0, 'p100': 0, 'rtx2080ti': 0, 'v100': 0, 'a40': 0, 'a100': 0}
ugpu={'1080': 0, 'k20m': 0, 'k40m': 0, 'k80': 0, 'titanx': 0, 'p100': 0, 'rtx2080ti': 0, 'v100': 0, 'a40': 0, 'a100': 0}
umem={'interlagos': 0, 'abudhabi': 0, 'ivybridge': 0, 'haswell': 0, 'broadwell': 0, 'skylake': 0, 'rome': 0, 'cascadelake': 0}
#Cycle through each node
for line in proc.stdout:
#Turn node information into a hash
node = dict(s.split("=", 1) for s in shlex.split(line) if '=' in s)
#Break out TRES so we can get GPU info.
cfgtres = dict(s.split("=", 1) for s in shlex.split(node['CfgTRES'].replace(",", " ")) if '=' in s)
alloctres = dict(s.split("=", 1) for s in shlex.split(node['AllocTRES'].replace(",", " ")) if '=' in s)
#Test for GPU
if 'gres/gpu' in cfgtres:
numgpu=int(cfgtres['gres/gpu'])
if 'gres/gpu' in alloctres:
agpu=int(alloctres['gres/gpu'])
else:
agpu=0
else:
numgpu=0
agpu=0
#Cataloging all the different CPU's and GPU's
for f in node['AvailableFeatures'].split(","):
if f in tcpu:
tcpu[f]=tcpu[f]+int(node['CPUTot'])
ucpu[f]=ucpu[f]+int(node['CPUAlloc'])
umem[f]=umem[f]+float(node['CPUTot'])*float(node['AllocMem'])/float(node['RealMemory'])
if f in tgpu:
tgpu[f]=tgpu[f]+numgpu
ugpu[f]=ugpu[f]+agpu
#Counters.
NodeTot=NodeTot+1
CPUTot=CPUTot+int(node['CPUTot'])
CPUAlloc=CPUAlloc+int(node['CPUAlloc'])
if node['CPULoad'] != 'N/A':
CPULoad=CPULoad+float(node['CPULoad'])
RealMem=RealMem+int(node['RealMemory'])
MemAlloc=MemAlloc+min(int(node['AllocMem']),int(node['RealMemory']))
#Slurm only lists actual free memory so we have to back calculate how much is actually used.
if node['FreeMem'] != 'N/A':
MemLoad=MemLoad+(int(node['RealMemory'])-int(node['FreeMem']))
GPUTot=GPUTot+numgpu
GPUAlloc=GPUAlloc+agpu
#Count how many nodes are in each state
if node['State'] == 'IDLE' or node['State'] == 'IDLE+COMPLETING' or node['State'] == 'IDLE+POWER' or node['State'] == 'IDLE#':
IDLETot=IDLETot+1
IDLECPU=IDLECPU+int(node['CPUTot'])
IDLEMem=IDLEMem+int(node['RealMemory'])
IDLEGPU=IDLEGPU+numgpu
if node['State'] == 'MIXED' or node['State'] == 'MIXED+COMPLETING' or node['State'] == 'MIXED#':
MIXEDTot=MIXEDTot+1
MIXEDCPU=MIXEDCPU+int(node['CPUTot'])
MIXEDMem=MIXEDMem+int(node['RealMemory'])
MIXEDGPU=MIXEDGPU+numgpu
if node['State'] == 'ALLOCATED' or node['State'] == 'ALLOCATED+COMPLETING':
ALLOCTot=ALLOCTot+1
ALLOCCPU=ALLOCCPU+int(node['CPUTot'])
ALLOCMem=ALLOCMem+int(node['RealMemory'])
ALLOCGPU=ALLOCGPU+numgpu
if "RESERVED" in node['State']:
RESTot=RESTot+1
RESCPU=RESCPU+int(node['CPUTot'])
RESMem=RESMem+int(node['RealMemory'])
RESGPU=RESGPU+numgpu
if "COMPLETING" in node['State']:
COMPTot=COMPTot+1
COMPCPU=COMPCPU+int(node['CPUTot'])
COMPMem=COMPMem+int(node['RealMemory'])
COMPGPU=COMPGPU+numgpu
if "DRAIN" in node['State'] and node['State'] != 'IDLE+DRAIN' and node['State'] != 'DOWN+DRAIN':
DRAINTot=DRAINTot+1
DRAINCPU=DRAINCPU+int(node['CPUTot'])
DRAINMem=DRAINMem+int(node['RealMemory'])
DRAINGPU=DRAINGPU+numgpu
if "DOWN" in node['State'] or node['State'] == 'IDLE+DRAIN':
DOWNTot=DOWNTot+1
DOWNCPU=DOWNCPU+int(node['CPUTot'])
DOWNMem=DOWNMem+int(node['RealMemory'])
DOWNGPU=DOWNGPU+numgpu
#Calculate percent occupation of all nodes. Some nodes may have few cores used but all their memory allocated.
#Thus the node is fully used even though it is not labelled Alloc. This metric is an attempt to count this properly.
#Similarly if all the GPU's on a gpu node are used it is fully utilized even though CPU and Mem may still be available.
PerAlloc=PerAlloc+max(float(node['CPUAlloc'])/float(node['CPUTot']),min(float(node['AllocMem']),float(node['RealMemory']))/float(node['RealMemory']),float(agpu)/max(1,float(numgpu)))
#Calculate Total TRES and Total FLOps
#This is Harvard specific for the weightings. Update to match what you need.
tcputres=0.1*float(tcpu['interlagos']+tcpu['abudhabi'])+0.2*float(tcpu['ivybridge'])+0.4*float(tcpu['haswell']+tcpu['broadwell'])+0.5*float(tcpu['skylake'])+0.8*float(tcpu['rome'])+1.0*float(tcpu['cascadelake'])
tmemtres=tcputres
tgputres=2.2*float(tgpu['titanx']+tgpu['1080'])+15.4*float(tgpu['k20m']+tgpu['k40m']+tgpu['k80'])+75.0*float(tgpu['v100']+tgpu['rtx2080ti']+tgpu['p100'])+10.0*float(tgpu['a40'])+209.1*float(tgpu['a100'])
ucputres=0.1*float(ucpu['interlagos']+ucpu['abudhabi'])+0.2*float(ucpu['ivybridge'])+0.4*float(ucpu['haswell']+ucpu['broadwell'])+0.5*float(ucpu['skylake'])+0.8*float(tcpu['rome'])+1.0*float(ucpu['cascadelake'])
umemtres=0.1*float(umem['interlagos']+umem['abudhabi'])+0.2*float(umem['ivybridge'])+0.4*float(umem['haswell']+umem['broadwell'])+0.5*float(umem['skylake'])+0.8*float(tcpu['rome'])+1.0*float(umem['cascadelake'])
ugputres=2.2*float(ugpu['titanx']+ugpu['1080'])+15.4*float(ugpu['k20m']+ugpu['k40m']+ugpu['k80'])+75.0*float(ugpu['v100']+ugpu['rtx2080ti']+ugpu['p100'])+10.0*float(tgpu['a40'])+209.1*float(ugpu['a100'])
ttres=tcputres+tmemtres+tgputres
utres=ucputres+umemtres+ugputres
#Current translation from TRES to Double Precision GFLOps
t2g=93.25
tcgflops=t2g*tcputres
ucgflops=t2g*ucputres
tggflops=t2g*tgputres
uggflops=t2g*ugputres
tgflops=tcgflops+tggflops
ugflops=ucgflops+uggflops
#Ship it.
self.publish("nodetot",NodeTot)
self.publish("cputot",CPUTot)
self.publish("cpualloc",CPUAlloc)
self.publish("cpuload",CPULoad,precision=2)
self.publish("realmem",RealMem)
self.publish("memalloc",MemAlloc)
self.publish("memload",MemLoad)
self.publish("gputot",GPUTot)
self.publish("gpualloc",GPUAlloc)
self.publish("idletot",IDLETot)
self.publish("downtot",DOWNTot)
self.publish("draintot",DRAINTot)
self.publish("mixedtot",MIXEDTot)
self.publish("alloctot",ALLOCTot)
self.publish("comptot",COMPTot)
self.publish("restot",RESTot)
self.publish("idlecpu",IDLECPU)
self.publish("downcpu",DOWNCPU)
self.publish("draincpu",DRAINCPU)
self.publish("mixedcpu",MIXEDCPU)
self.publish("alloccpu",ALLOCCPU)
self.publish("compcpu",COMPCPU)
self.publish("rescpu",RESCPU)
self.publish("idlemem",IDLEMem)
self.publish("downmem",DOWNMem)
self.publish("drainmem",DRAINMem)
self.publish("mixedmem",MIXEDMem)
self.publish("allocmem",ALLOCMem)
self.publish("compmem",COMPMem)
self.publish("resmem",RESMem)
self.publish("idlegpu",IDLEGPU)
self.publish("downgpu",DOWNGPU)
self.publish("draingpu",DRAINGPU)
self.publish("mixedgpu",MIXEDGPU)
self.publish("allocgpu",ALLOCGPU)
self.publish("compgpu",COMPGPU)
self.publish("resgpu",RESGPU)
self.publish("peralloc",PerAlloc,precision=2)
self.publish("tcpuinterlagos",tcpu['interlagos'])
self.publish("tcpuabudhabi",tcpu['abudhabi'])
self.publish("tcpuivybridge",tcpu['ivybridge'])
self.publish("tcpuhaswell",tcpu['haswell'])
self.publish("tcpubroadwell",tcpu['broadwell'])
self.publish("tcpuskylake",tcpu['skylake'])
self.publish("tcpurome",tcpu['rome'])
self.publish("tcpucascadelake",tcpu['cascadelake'])
self.publish("tgputitanx",tgpu['titanx'])
self.publish("tgpu1080",tgpu['1080'])
self.publish("tgpuk20m",tgpu['k20m'])
self.publish("tgpuk40m",tgpu['k40m'])
self.publish("tgpuk80",tgpu['k80'])
self.publish("tgpuv100",tgpu['v100'])
self.publish("tgpurtx2080ti",tgpu['rtx2080ti'])
self.publish("tgpup100",tgpu['p100'])
self.publish("tgpua40",tgpu['a40'])
self.publish("tgpua100",tgpu['a100'])
self.publish("ucpuinterlagos",ucpu['interlagos'])
self.publish("ucpuabudhabi",ucpu['abudhabi'])
self.publish("ucpuivybridge",ucpu['ivybridge'])
self.publish("ucpuhaswell",ucpu['haswell'])
self.publish("ucpubroadwell",ucpu['broadwell'])
self.publish("ucpuskylake",ucpu['skylake'])
self.publish("ucpurome",ucpu['rome'])
self.publish("ucpucascadelake",ucpu['cascadelake'])
self.publish("ugputitanx",ugpu['titanx'])
self.publish("ugpu1080",ugpu['1080'])
self.publish("ugpuk20m",ugpu['k20m'])
self.publish("ugpuk40m",ugpu['k40m'])
self.publish("ugpuk80",ugpu['k80'])
self.publish("ugpuv100",ugpu['v100'])
self.publish("ugpurtx2080ti",ugpu['rtx2080ti'])
self.publish("ugpup100",ugpu['p100'])
self.publish("ugpua40",ugpu['a40'])
self.publish("ugpua100",ugpu['a100'])
self.publish("umeminterlagos",umem['interlagos'],precision=0)
self.publish("umemabudhabi",umem['abudhabi'],precision=0)
self.publish("umemivybridge",umem['ivybridge'],precision=0)
self.publish("umemhaswell",umem['haswell'],precision=0)
self.publish("umembroadwell",umem['broadwell'],precision=0)
self.publish("umemskylake",umem['skylake'],precision=0)
self.publish("umemrome",umem['rome'],precision=0)
self.publish("umemcascadelake",umem['cascadelake'],precision=0)
self.publish("tcputres",tcputres,precision=1)
self.publish("tgputres",tgputres,precision=1)
self.publish("tmemtres",tmemtres,precision=1)
self.publish("ucputres",ucputres,precision=1)
self.publish("ugputres",ugputres,precision=1)
self.publish("umemtres",umemtres,precision=1)
self.publish("ttres",ttres,precision=1)
self.publish("utres",utres,precision=1)
self.publish("tcgflops",tcgflops,precision=1)
self.publish("tggflops",tggflops,precision=1)
self.publish("ucgflops",ucgflops,precision=1)
self.publish("uggflops",uggflops,precision=1)
self.publish("tgflops",tgflops,precision=1)
self.publish("ugflops",ugflops,precision=1)