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Partition & QoS

Partitions

A partition is a set of compute nodes grouped logically based on their hardware features. The table below shows the available partitions and their properties / features in Madhava HPC

Partition Default / Max Job duration nodes cores per node RAM(GB) per node State
testq 01:00:00 compute[01-31] 40 192GB UP
shortq infinite compute[01-31] 40 192GB UP
medium infinite compute[01-31] 40 192GB UP
longq infinite compute[01-31] 40 192GB UP
testgpuq 01:00:00 compute[32-33] 40 192GB UP
gpu q infinite compute[32-33] 40 192GB UP

Quality of Service (QoS)

Each QoS is assigned a set of limits to be applied to the job, dictating the limit in the resources and partitions that a job is entitled to request. The table below shows the available QoS in Madhava HPC and their allowed partitions / resources limits.

Name Wall Time Max Jobs Per User Max Submit Per User Max Nodes Min Nodes Max Cores Resources
testq 01:00:00 2 2 1 1 40
shortq infinite 4 5 1 1 40
medium infinite 3 4 3 2 120
longq infinite 1 1 8 5 320
testgpuq 01:00:00 2 2 1 1 40 2 GPU
gpu q infinite 1 2 1 1 40 2 GPU

Note

Users are advised to specify a suitable QoS depending on the job’s requirement.

Note

For those serial jobs or multi-threaded (OpenMP) jobs that can only be executed on a single node requested to uswe "shortq", for the jobs requires more running time then the "mediumq" and “longq” QoS is a more preferable one.