Call for participation: HPC tutorial series from the HPCIC

Call for participation: HPC tutorial series from the HPCICLawrence Livermore National Laboratory (LLNL) and AWS are joining forces to provide a training opportunity for emerging HPC tools and application. This takes the form of a series of tutorials over the summer by the HPC Innovation Center (HPCIC) at the Lab, which focuses on a broad suite of open-source software projects originating from LLNL. The series aims to give attendees experience with these cutting-edge technologies.

This virtual series consists of nine distinct tutorials through the month of August. Each tutorial focuses on a specific package from the HPCIC. You’ll get hands-on experience with each project and learn more about running HPC on AWS. Each event will be hosted on AWS resources and use AWS ParallelCluster to provide the environment for attendees.

LLNL has a long history of delivering some of the world’s largest supercomputers and the supporting software to effectively use them. This collaboration between LLNL and AWS brings these projects and industry best practices to a broader community. Together we are democratizing access to next generation computational research tools and HPC resources.

How to Participate

Come join us in learning how these projects can help advance your HPC research and improve efficiency. These tutorials provide a great opportunity to learn modern techniques and tools in an adaptive cloud environment.

To register your interest, use the signup form. Details of each event and registration deadlines are listed in the following table.

Date Time (PDT, GMT-7) Tutorial
Thu Aug 1 9–11am BLT: build, link, and test large-scale applications
Tue Aug 6 8–11:30am Spack (part 1 of 2): learn to install your software quickly
Wed Aug 7 8–11:30am Spack (part 2 of 2)
Thu Aug 8 9–12pm Caliper: integrate performance profiling capabilities into your applications
Hatchet: analyze hierarchical performance data
Thicket: optimize application performance on supercomputers
Tue Aug 13 9– 11am RAJA: run and port codes across different GPUs
Umpire: discover, provision, and manage HPC memory
Thu Aug 15 9–11am Axom: leverage robust, flexible software components for scientific applications
Tue Aug 20 9–11am Ascent: visualize and analyze your simulations in situ
Thu Aug 22 9–11am MFEM: use scalable finite element discretizations
Tue Aug 27 9–11am WEAVE: analyze runs of your code
Thu 29 9–11am Flux: run thousands of jobs in a workflow

We’re excited about this opportunity to give back to the HPC community alongside LLNL and look forward to meeting you all over the duration of the event.