Running Interactive and Batch Jobs at the Research Computing Center

Research Computing Center

Abstract Slurm is a widely used job scheduler on high-performance computing systems. Efficient resource management is crucial to achieve productivity in the complex environment of RCC computing clusters. This workshop aims to equip users with a clear understanding of all the available compute partitions at the RCC, how to identify the right resource to use for your specific job,&nbsp; how to configure a Slurm job, how to use Slurm commands, how to submit a job, and how to avoid common mistakes that may cause a job to wait for a long time in the queue before running or fail to run altogether. Objectives:By the end of the workshop attendees will:<ul><li>learn the various Midway resources and partitions for running jobs</li><li>learn Slurm commands, how to create a Slurm batch script, and how to submit batch jobs</li><li>acquire a good understanding of RCC software module system and run time environments</li><li>learn how to submit serial single processor and parallel (OpenMP and MPI) multiple processor jobs</li><li>learn how to submit GPU jobs</li><li>learn how to submit a job that is carried on several times by a given code, differing only in the initial value of some high-level parameter for each run (Slurm job array)&nbsp;</li><li>learn how to pack jobs and schedule independent processes inside a Slurm job allocation</li><li>learn how to submit Message passing parallel jobs (MPI), multi-threading (OpenMP), and hybrid jobs.</li><li>learn how to request a Slurm interactive session</li><li>learn best practices and how to debug Slurm script</li></ul> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Duration: 2 hoursLevel: IntroductoryPrerequisites: Knowledge of Slurm is helpful. An RCC account is required.

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Running Interactive and Batch Jobs at the Research Computing Center

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Running Interactive and Batch Jobs at the Research Computing Center

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