2014 Argonne Training Program on Extreme Scale Computing now underway

Author: 
Andrea Manning

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With the Argonne Training Program on Extreme Scale Computing (ATPESC) now underway in St. Charles, Illinois, we are pleased to provide access to videos of the presentations at last year’s program. Running through August 15, the ATPESC is organized and hosted by Argonne as a two-week “boot camp” for future users of leadership-class machines.

The intensive training program maintains a regimen of 10 hours’ worth of sessions each day, featuring lectures, panels, and hands-on exercises on using massively parallel computing architectures with hundreds of thousands of processor cores. Topics also address programming techniques and numerical algorithms that are effective in leading-edge, high-performance computing (HPC) systems, as well as trends supporting performance portability to the next generation of leadership computer architectures.

Paul Messina, director of science for the Argonne Leadership Computing Facility, a DOE Office of Science user facility, organized the ATPESC program to provide the next generation of computational science and engineering (CS&E) researchers with a platform for gaining a broad view of the many facets of HP computing and generating ideas when tackling new problems as their research evolves.

This year’s participants include 64 CS&E researchers, selected from a field of 150 applicants, who are doctoral students, postdocs, and computational scientists who have used at least one HPC system for a reasonably complex application and are engaged in or planning to conduct CS&E research on large-scale computers. Their research interests span the disciplines that benefit from HPC, such as physics, chemistry, materials science, computational fluid dynamics, climate modeling, and biology.

Release of the 2013 Training Supports Argonne’s Educational Aims

Sessions offered at last summer’s 2013 ATPESC can be accessed here: http://extremecomputingtraining.anl.gov/2013-videos. The topics represented in these 66 presentations fall into seven major categories:

  • Hardware architectures
  • Programming models and languages
  • Numerical algorithms and software
  • Toolkits and frameworks
  • Visualization and data analysis
  • Data intensive computing and I/O
  • Community codes and software engineering.

This work was supported by the DOE Office of Science (Advanced Scientific Computing Research program).