srvcnthpc100: 40 CPUS  1523%/4000%=38% utilized   15 cores active = 37% core reservation   =  102% efficiency 
srvcnthpc101: 40 CPUS  14%/4000%=0% utilized   0 cores active = 0% core reservation
srvcnthpc102: 40 CPUS  17%/4000%=0% utilized   0 cores active = 0% core reservation
srvcnthpc406: 8 CPUS  8%/800%=1% utilized   0 cores active = 0% core reservation
srvcnthpc407: 8 CPUS  8%/800%=1% utilized   0 cores active = 0% core reservation
srvcnthpc409: 8 CPUS  8%/800%=1% utilized   0 cores active = 0% core reservation
srvcnthpc410: 8 CPUS  8%/800%=1% utilized   0 cores active = 0% core reservation
srvcnthpc411: 8 CPUS  8%/800%=1% utilized   0 cores active = 0% core reservation
srvcnthpc412: 8 CPUS  8%/800%=1% utilized   0 cores active = 0% core reservation
srvcnthpc413: 8 CPUS  8%/800%=1% utilized   0 cores active = 0% core reservation
srvcnthpc414: 8 CPUS  8%/800%=1% utilized   0 cores active = 0% core reservation
srvcnthpc415: 8 CPUS  8%/800%=1% utilized   0 cores active = 0% core reservation
srvcntgpu005: 32 CPUS  3199%/3200%=99% utilized   32 cores active = 100% core reservation   =  99% efficiency 
srvcntgpu006: 32 CPUS  3186%/3200%=99% utilized   32 cores active = 100% core reservation   =  99% efficiency 
srvcntgpu007: 32 CPUS  3194%/3200%=99% utilized   32 cores active = 100% core reservation   =  99% efficiency 
srvcntgpu008: 32 CPUS  3193%/3200%=99% utilized   32 cores active = 100% core reservation   =  99% efficiency 
Average cluster efficiency = 99%
srvcntgpu005: 4 tesla GPUS 94%/400% = 23%
srvcntgpu006: 4 tesla GPUS 116%/400% = 28%
srvcntgpu007: 4 tesla GPUS 124%/400% = 31%
srvcntgpu008: 4 tesla GPUS 116%/400% = 28%
Average GPU efficiency = 27%