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ARCHER2 Weekly Newsletter

By ARCHER2 Service on September 18, 2024

Tags: newsletters 

Capability Days

The third ARCHER2 Capability Days session will run from 24-26 September 2024. ARCHER2 Capability Days are a mechanism to allow users to run large scale tests on the system free of charge. The motivations behind Capability Days are:

  • Enhancing world-leading science from ARCHER2 by enabling modelling and simulation at scales that are not otherwise possible.
  • Enabling capability use cases that are not possible on other UK HPC services.
  • Providing a facility that can be used to test scaling to help prepare software and communities for future exascale resources.

Capability Days are made up of three parts:

  • 0800-2000 BST, 24 September 2024 - pre-Capability Days session (pre-capabilityday QoS) to allow users to test scaling and job setup ahead of full Capability Day
    • Supports jobs 256-1024 nodes, 20 min maximum run time
    • Jobs are uncharged
  • 0800-1600 BST, 24 Sep 2024 - NERCcapability reservation to allow NERC users to test scaling
    • Only available to users in NERC projects
    • Supports up to 1024 nodes
    • Jobs are uncharged
  • 2000 BST, 24 September - 1400 BST, 26 September 2024 - Capability Days session (capabilityday QoS)
    • Supports jobs 512-4096 nodes, 1 hour maximum run time
    • Jobs are uncharged

For all Capability Days QoS/reservation jobs can be submitted ahead of time and will start when the session starts.

A full description of the Capability Days, including example job submission scripts can be found in the ARCHER2 Documentation at: ARCHER2 Capability Days

During Capability Days a significantly reduced number of nodes are available for standard ARCHER2 jobs so users should expect to experience longer than usual wait times and reduced throughput.

Capability Days webinar

There will be a webinar detailing Capability Days on Wednesday 18th September at 1500.

Come along and find out how you can get the most from the opportunities offered by the Capability days.

Accelerating your Applications with AMD GPUs

The AMD GPUs training team experts will be delivering this course over four afternoons, 1 - 4 October 2024 13:00 - 17:00

Considering porting or optimizing your code for AMD GPUs? This course will give an introduction to the AMD Instinct™ GPU architecture and its ROCm™ ecosystem, including the tools to develop or port HPC or AI applications to AMD GPUs. Participants will be introduced to the programming models for the MI200 and MI300 series GPUs and APUs. It has never been easier to program GPUs using a wide range of GPU programming models. We will cover how to use pragma-based languages such as OpenMP, the basic GPU programming language HIP, and performance portable languages such as Kokkos and RAJA. In addition, there will be presentations on other important topics such as GPU-aware MPI. The AMD tool suite, including the debugger, rocgdb, and the profiling tools rocprof, omnitrace, and omniperf will also be covered. A short introduction will be given into the AMD Machine Learning software stack including PyTorch. and Tensorflow and how they have been used in HPC.

After this course, participants will

  • have learned about the many GPU programming languages for AMD GPUs,
  • have gained knowledge about the AMD programming tools,
  • understand how to get performance scaling,
  • have been introduced to the AMD machine learning (ML) and artificial intelligence (AI) software,
  • know about profiling and debugging resources.

Further details and registration

Recently added known issues

The “Known Issues” page of the ARCHER2 Documentation https://docs.archer2.ac.uk/known-issues/ lists all current open known issues including a description of the issue, its symptoms and any work-arounds.

No recent issues.

Upcoming ARCHER2 Training

Further details of upcoming training

We always welcome researchers wishing to present their work in a webinar - please contact the Service Desk if you would be interested in presenting your work.

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Recordings of past courses

Recordings of past virtual tutorials