cluster:167
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CPU vs GPU
So the question was raised what does our usage look like between CPU and GPU devices? I have no idea what the appropriate metrics would be but lets start with comparing the hardware deployed. We'll also need to make some assumptions
- Data is period June 1 to June 25, 2018 (job information data ages out)
- Maybe build monthly script if this turns out to be usable info
- That period covers 600 hours of time
- Assume 99% utilization of cpu core or gpu device
- Available time is measured per cpu core but by gpu device
- There is no good/bad metric
- Never collated such data before
- The GPU usage is based on detecting gpu reservations (gpu= flag)
- Sadly, the logs showing gpu %util confirm this
| Metric | CPU | Ratio | GPU | Notes |
|---|---|---|---|---|
| Device Count | 72 | 3:1 | 24 | cpu all intel, gpu all nvidia |
| Core Count | 1,192 | 1:54 | 64,300 | physical only |
| Memory | 7,408 | 51:1 | 144 | GB |
| Teraflops | 38 | 1.5:1 | 25 | double precision, floating point, theoretical |
| Avail Hours | 715,200 | 50:1 | 14,400 | total cpu cores, total gpus |
| Job Count | 2,834 | 3:1 | 1,045 | scheduled jobs irregardless of exit status |
| Job Hours | 221,136 | 77:1 | 2,872 | cummulative hours of consumed usage |
| Avail Hrs Util% | 31 | 6:1 | 5 | weeping… |
| Avail Hours2 | 561,600 | 39:1 | 14,400 | total cpu cores - hp12, total gpus |
| Avail Hrs2 Util% | 39 | 8:1 | 5 | more realistic… |
cluster/167.1530041424.txt.gz · Last modified: 2018/06/26 19:30 by hmeij07
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