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UID:b31d6c09-7762-4fe6-91b0-b8a916845351@support.access-ci.org
DTSTAMP:20260521T230532Z
DTSTART:20261112T130000Z
DTEND:20261112T143000Z
SUMMARY:High Throughput and Many Task Computing (COMPLECS)
DESCRIPTION:Not all computational problems utilize the types of parallel ap
 plications traditionally designed to run on high-performance computing (HP
 C) systems. Today, many workloads running on these systems often require a
  modest amount of computing resources for any given job or task. For speci
 fic research workloads, however, a more important consideration is actuall
 y how much aggregate compute power can be consistently and reliably levera
 ged against a problem over time. These high-throughput computing (HTC) wo
 rkloads aim to solve larger problems over extended periods by completing n
 umerous smaller computational subtasks. For example, these often involve s
 ignificant parameter sweeps over simulation input parameters or regular pr
 ocessing and analysis of data collected from specialized instruments. In s
 ome cases, these problems are also composed of numerous district computati
 onal subtasks linked together in highly structured, complex workflows, whi
 ch can become a challenge in and of themselves to design and manage effect
 ively. If your research problem can leverage a high-throughput or many-tas
 k computing (MTC) model, then it is vital to learn how to build and run th
 ese types of workflows safely and effectively on HPC systems.In this third
  part of our series on Batch Computing, we introduce you to high-throughpu
 t and many-task computing using the Slurm Workload Manager. In particular,
  you will learn how to use Slurm job arrays and job dependencies, which ca
 n be used to create these more structured computational workflows. We will
  also highlight some of the problems you’ll likely come across when you 
 start running HTC and/or MTC workloads on HPC systems. This will include a
  discussion on job bundling strategies — what they are and when to use t
 hem. Additional topics about high-throughput and many-task computing workf
 lows will be covered as time permits.
URL:https://support.access-ci.org/events/9086
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