This meetup provides the research computing community with a shared working space to meet collaborators, share knowledge, and get help. We also invite groups to reserve time for focused discussions that may be of interest to the broader research computing community.
Learn the basic skills necessary to develop and execute life sciences workflows on large-scale systems, run parallel analyses, use Bash and Python to chain common life sciences applications together to form more complex workflows, and analyze result data in order to gain useful insights.
ATPESC provides doctoral students, postdocs, and computational scientists intensive hands-on training on the key skills, approaches and tools to design, implement, and execute computational science and engineering applications on current supercomputers and the HPC systems of the future. As a bridge to that future, this two-week program fills many gaps that exist in the training computational scientists typically receive through formal education or shorter courses. There are no fees to participate. Domestic airfare, meals, and lodging are provided.
The Summer Institute provides attendees with an overview of topics in High Performance Computing and Data Science to accelerate their learning process through highly interactive classes with hands-on tutorials on the Comet Supercomputer. The program is aimed at researchers in academia and industry, especially in domains not traditionally engaged in supercomputing. Participants only need to have basic programming experience and should be comfortable working in a Linux environment.