Path to Petascale: Adapting GEO/CHEM/ASTRO Applications for Accelerators and Accelerator Clusters

June 4th, 2009

The goal of this workshop, held at the National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, was to help computational scientists in the geosciences, computational chemistry, and astronomy and astrophysics communities take full advantage of emerging high-performance computing resources based on computational accelerators, such as clusters with GPUs and Cell processors.

Slides are now available online and cover a wide range of topics including

  • GPU and Cell programming tutorials
  • GPU and Cell technology
  • Accelerator programming, clusters, frameworks and building blocks such as sparse matrix-vector products, tree-based algorithms and in particular accelerator integration into large-scale established code bases
  • Case studies and posters from geosciences, computational chemistry and astronomy/astrophysics such as the simulation of earthquakes, molecular dynamics, solar radiation, tsunamis, weather predictions, climate modeling and n-body systems as well as Monte-Carlo, Euler, Navier-Stokes and Lattice-Boltzmann type of simulations

(National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign: Path to Petascale workshop presentations, organized by Wen-mei Hwu, Volodymyr Kindratenko, Robert Wilhelmson, Todd Martínez and Robert Brunner)