Argonne Training Program on Extreme-Scale Computing (ATPESC 2020) Call for Applications Open

January 27, 2020

Jan. 27, 2020 — Computational scientists now have the opportunity to apply for the upcoming Argonne Training Program on Extreme-Scale Computing (ATPESC), to take place from July 26–August 7, 2020.

With the challenges posed by the architecture and software environments of today’s most powerful supercomputers, and even greater complexity on the horizon with next-generation exascale systems, there is a critical need for specialized, in-depth training for the computational scientists poised to facilitate breakthrough science and engineering using these amazing resources.

The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two-week training on the key skills, approaches, and tools needed to carry out scientific computing research on the world’s most powerful supercomputers. Image courtesy Argonne National Laboratory.

ATPESC provides 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 high-performance computing (HPC) systems of the future. As a bridge to that future, this two-week program fills many gaps in the training that computational scientists typically receive through formal education or other shorter courses. ATPESC participants will be granted access to leadership-class supercomputers at U.S. Department of Energy (DOE) Office of Science User Facilities, which will be home to the nation’s forthcoming exascale systems.

This year’s program will again be held in the west suburban Chicago area. Instructions for applying to the program can be found at http://extremecomputingtraining.anl.gov. The deadline for applicant submissions is Monday, March 2, 2020.

Program Curriculum

Renowned scientists, world-class HPC community experts and leaders will serve as lecturers and will guide the hands-on laboratory sessions. The core curriculum will address:

  • Computer architectures and predicted evolution
  • Programming methodologies that are known to be effective across a variety of today’s supercomputers and expected to be applicable to exascale systems
  • Data-intensive computing and I/O
  • Numerical algorithms and mathematical software
  • Performance measurement and debugging tools
  • Approaches to software productivity for HPC systems
  • Data analysis and visualization
  • Machine learning and data science

Eligibility and Application

Doctoral students, postdocs and computational scientists interested in attending ATPESC can review eligibility and application details on the program website.

Cost

There are no fees to participate. Domestic airfare, meals and lodging are provided.

ATPESC is organized by DOE’s Argonne National Laboratory and funded by the Exascale Computing Project, a collaborative effort of the DOE Office of Science’s Advanced Scientific Computing Research Program and the National Nuclear Security Administration.

About Argonne National Laboratory 

Argonne National Laboratory seeks solutions to pressing national problems in science and technology. The nation’s first national laboratory, Argonne conducts leading-edge basic and applied scientific research in virtually every scientific discipline. Argonne researchers work closely with researchers from hundreds of companies, universities, and federal, state and municipal agencies to help them solve their specific problems, advance America’s scientific leadership and prepare the nation for a better future. With employees from more than 60 nations, Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science.

About The U.S. Department of Energy’s Office of Science 

The U.S. Department of Energy’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit https://energy.gov/science


Source: Argonne Training Program on Extreme-Scale Computing Staff, Argonne National Laboratory 

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