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cluster:167 [2018/06/26 18:16]
hmeij07 [CPU vs GPU]
cluster:167 [2018/06/27 17:32]
hmeij07 [CPU vs GPU]
Line 14: Line 14:
   * Never collated such data before   * Never collated such data before
   * The GPU usage is based on detecting gpu reservations (gpu= flag)   * The GPU usage is based on detecting gpu reservations (gpu= flag)
-  * +
  
 ^ Metric ^ CPU ^ Ratio ^ GPU ^ Notes ^ ^ Metric ^ CPU ^ Ratio ^ GPU ^ Notes ^
Line 23: Line 23:
 | Avail Hours | 715,200  |  50:1  |  14,400 | total cpu cores, total gpus | | 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 Count | 2,834  |  3:1  |  1,045 | scheduled jobs irregardless of exit status |
-| Job Hours | 221,136  |  77:1  |  2,872 | cummulative hours of usage |+| Job Hours | 221,136  |  77:1  |  2,872 | cummulative hours of consumed usage |
 | Avail Hrs Util% | 31  |  6:1  |  5 | weeping... | | Avail Hrs Util% | 31  |  6:1  |  5 | weeping... |
 +| Avail Hours2 | 561,600  |  39:1  |  14,400 | total cpu cores - hp12's 256 cores, total gpus |
 +| Avail Hrs2 Util% | 39  |  8:1  |  5 | more realistic... |
 +
 +The logs showing gpu %util confirm the extremely low GPU usage. When concatenating the four gpu %util values int a string, since 01Jan2017, the string '0000' has occurred 10 million times out of 16 million observations. (GPUs are polled every 10 mins). Sad. The surprising strong GPU job count is due to the Amber group launches lots of small GPU jobs.
 +
 +So were these 25 days in June 2018 an oddity? March is Honors' Theses time so lets look at Jul17 so we can compare that to Jul18 in august.
 +
 +^  Total Monthly CPU+GPU Hours  ^^^^^^^^^^^
 +^Ju17^Aug17^Sep17^Oct17^Nov17^Dec17^Jan18^Feb18^Mar18^Apr18^May18^
 +|313,303|273,051|128,390|111,224|280,101|51,727|306,453|222,585|437,959|262,227|294,724|
 +
  
 **[[cluster:0|Back]]** **[[cluster:0|Back]]**
cluster/167.txt ยท Last modified: 2018/08/01 14:11 by hmeij07