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--- cluster:167 [2018/06/26 14:36]
hmeij07 [CPU vs GPU]
+++ cluster:167 [2018/06/26 18:27]
hmeij07 [CPU vs GPU]
@@ Line 4: / Line 4: @@
 ==== CPU vs GPU ====
-So the question was raised what does our usage look like between CPU and GPU? I have no idea what the appropriate metrics would be but lets start with comparing the hardware deployed.
+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
-^ Metric ^ CPU ^ GPU ^ Notes ^
+  * Data is period June 1 to June 25, 2018 (job information data ages out)
-| How Many | 72 | 24 | cpu all intel, gpu all nvidia |
+    * 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)
+  *
+^ 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 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... |
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