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On some clusters (for example on GALILEO100 or MARCONI100LEONARDO) you can choose to allocate for your job only part of the node. You are not forced to allocate all of it as it happens in clusters (like MARCONI) running in exclusive mode. In this case, the accounting procedure also takes into account the amount of memory you request for your job. If you ask for an amount of memory that is larger than the equivalent number of cores requested, the jobs will be billed for a larger number of cores than the ones you have reserved.
The billing always follows the basic idea illustrated above, but a generalized parameter for the number of reserved cores, accounting for the memory request, is now used:
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Recently, the accounting system has been extended to nodes equipped with accelerators. The principle is the same as memory accounting: asking for a number of accelerators that will make you allocate a bigger portion of the node than what is suggested by the simple number of cores requested, will increase the consumption accordingly.
For GALILEO100LEONARDO, every GPU will be treated as 24 8 cores in terms of accounting. That is because GPU nodes have 48 32 CPUs and 2 4 GPU each. So allocating 1 GPU is equivalent to allocating half a quarter of the node (i.e. 24 8 CPUs).
Some examples based on GALILEO100 LEONARDO (1 node):
- cpus=3224, gpus=1 ==> the number of GPUs requested is equal to having requested 24 8 CPUs, but since 32 24 of them have been requested in the standard way, they are not taken into account. Thus 32 CPUs will 24 CPUs will be billed;
- cpus=6, gpu=1 ==> the number of GPUs requested is equal to having requested 24 8 CPUs, which is higher than the number of CPUs requested. Thus 24 8 CPUs will be billed;
- cpus=24, gpus=2 4 ==> the number of GPUs requested is equal to having requested 48 32 CPUs, while 24 of them have been requested in the standard way, and they are not enough to cover for the GPU request. Therefore 48 32CPUs will be billed;
- cpus=24, gpus=1,mem=366GB 500GB ==> the situation is similar to the first example (so 24 CPUs billed), but the memory request is higher than what is guaranteed by the simple allocation of the CPUs or GPUs, since it is equivalent of allocating the entire node. So, 48 32CPUs will be billed.
Low priority production jobs for active projects with exhausted budget
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