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Allocations and compute scheduling: Difference between revisions
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Allocations and compute scheduling (view source)
Revision as of 22:30, 1 November 2018
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Research groups are charged for the maximum number of GPU-core-memory bundles they use. Assuming a core-memory bundle of 1 GPU, 6 cores, and 32GB of memory: | |||
Research groups are charged for the maximum number of GPU-core-memory bundles they use. Assuming a core-memory bundle of 1 GPU, 6 cores, and 32GB of memory: <br clear=all> | [[File:GPU_equivalent_diagram.png|frame|center|Figure 4 - GPU equivalent diagram.]]<br clear=all> | ||
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* Research groups using more memory than GPUs or cores per GPU-core-memory bundle will be charged by memory. For example, a researcher requests 1 GPU, 6 cores, and 48GB of memory. The request is for 1.5 GPU-core-memory bundles worth of memory but only one bundle for GPUs and cores. This job request will be counted as 1.5 GPU equivalents when the research group’s priority is calculated. | * Research groups using more memory than GPUs or cores per GPU-core-memory bundle will be charged by memory. For example, a researcher requests 1 GPU, 6 cores, and 48GB of memory. The request is for 1.5 GPU-core-memory bundles worth of memory but only one bundle for GPUs and cores. This job request will be counted as 1.5 GPU equivalents when the research group’s priority is calculated. | ||
[[File:GPU_and_a_half_(memory).png|frame|Figure 7 - 1.5 GPU equivalents, based on memory.]] <br clear=all> | [[File:GPU_and_a_half_(memory).png|frame|center|Figure 7 - 1.5 GPU equivalents, based on memory.]] <br clear=all> | ||
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