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Windows HPC Integration > Setting the Computing Resource UnitsThe number of resource units must always be set to a value that is greater than or equal to the Number of engines, regardless of the type of the resource unit(s). Apart from this requirement, you must always set the following values to ensure that the job has sufficient resources. Compute resource granularity Number of compute resource units Node exclusivity Job description file
Examples Following are some examples that illustrate how to specify a number HPC job variables given various computing environment constraints and conditions.
Pure DSO job that doesn't use much memory. Set Compute resource granularity to “Core” or “Socket” (see How to Select the Job Unit Type). Set Number of compute resource units to “Number of engines”.
Job is memory intensive. Run a fixed number of engines on each node. Set Compute resource granularity to “Core” or “Socket” (see How to Select the Job Unit Type). Set Node exclusivity to “True”. Set Number of compute resource units to the number of units that are for exclusive usage by this job. Specify appropriate node list or node groups via the Job description file.
Given the following suppositions, configure the HPC job in the following manner. The job is run on nodes with 32GB of memory and 8 cores per node. Each engine requires 8GB memory i.e. 4 engines can run on each machine. The Number of engines specified for this job is 10. Since four engines are run per node, we need three nodes to run 10 engines. So, Number of compute resource units should be set to 24 cores (“3 nodes” times “8 cores”). And Number of cores per engine should be set to 2. And Number of cores should be set to 8 (or a smaller number, if using 8 cores slows down the analysis)
Job is memory intensive. Run one engine per node. Set Compute resource granularity to “Node” Set Number of compute resource units to “Number of engines”. Specify appropriate node list or node groups via the Job description file.
Given the following suppositions, configure the HPC job in the following manner. The job is run on nodes with 16GB of memory and 4 cores per node. Each engine requires 16GB memory (i.e., 1 engine can run on each machine). The Number of engines specified for this job is 10. So, Number of compute resource units should be set to 10 nodes. And Number of cores per engine should be set to 2 (or a smaller number, if using 2 cores slows down the analysis). And Number of cores should be set to 4 (or a smaller number, if using 4 cores slows down the analysis)
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