Allocations and compute scheduling/en: Difference between revisions

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 ==Reference GPU unit equivalent used by the scheduler==
-Use of GPUs and their associated resources follow the same principles as already described for core equivalents, except that a reference GPU unit (RGU) is added to the bundle alongside multiple cores and memory. This means that the accounting for GPU-based allocation targets must include the RGU. Similar to how the point system was used above when considering resource use as an expression of the concept of core equivalence, we will use a similar point system here as an expression of RGU equivalence.
+Use of GPUs and their associated resources follow the same principles as already described for core equivalents, except that a reference GPU unit (RGU) is added to the bundle alongside multiple cores and memory. This means that the accounting for GPU-based allocation targets must include the RGU. Similar to how the point system was used above when considering resource use as an expression of the concept of core equivalence, we use a similar point system here as an expression of RGU equivalence.
 Research groups are charged for the maximum number of RGU-core-memory bundles they use. Assuming a fictive bundle of 1 RGU, 3 cores, and 4 GB of memory: