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Recherche, Introduction to using the HPC clusters

Several scientific applications require computing and or storage resources that go beyond the processing power of a single multi-core machine. High performance computing (HPC) clusters provide the necessary hardware and software infrastructure to efficiently run computing and data intensive applications. This course provides detailed information on how to efficiently use UNIL compute and storage infrastructure.

Objectives of this course

Learn how to process data on the UNIL HPC clusters and how to manage data in the UNIL storage facility

Target audience

This course is meant as an introduction for PhD students, post-docs, researchers of UNIL and CHUV who need to conduct heavy scientific computing in their research and/or manage large amount of data

Content

At

  • Introduction to most useful Linux commands and tools in the endframe of the course, the participants are expected to:

      HPC
    • Be familiar with the layoutsDescription of the computing and storage facilities of the UNIL, and their cost models
    • BeHow ableto properly organize and manage data in the storage facility
    • Introduction to Git
    • Learn how to submit jobs on the HPC clusters of the UNIL
    • BeSoftware able to properly organize their data in the storage facilitystack
    • LearnGood how to use UNIL infrastructure for scientific applications (including hands-on exercises)
    • Be aware of the tips and trickshabits for an efficient usage of the processing and storage facilities as shared resources

    Length

    3 half-days

    The first half-day is an introduction to Linux in the frame of HPC.

    Organization

    On a quarterly basis

    Location

    To be defined or remotely

    Prerequisites

    IMPORTANT: Please register using your UNIL email address!

     

    Course dates and registration

     

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