Increasing HPC Resiliency Leads to Greater Productivity
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Maintaining a high-performance computing (HPC) infrastructure in an academic research environment is a daunting task. Coupled with lean budgets and limited staff, the need for a self-healing cluster becomes all the more important. It is possible to achieve nearly 100% uptime on HPC compute nodes by utilizing job scheduling features that will pre-emptively terminate jobs before they cause problems on HPC systems, or prevent new jobs from running should a potential problem already exist, thereby freeing up time for the systems administrators to work on tasks other than cluster recovery.
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HPCSYSPROS16; 1
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