Distributed, on-demand, data-intensive and collaborative simulation analysis

  • Authors:
  • Arthurine Breckenridge;Lyndon Pierson;Sergiu Sanielevici;Joel Welling;Rainer Keller;Uwe Woessner;Juergen Schulze

  • Affiliations:
  • Sandia National Laboratories, Albuquerque, NM;Sandia National Laboratories, Albuquerque, NM;Pittsburgh Supercomputing Center, Pittsburgh, PA;Pittsburgh Supercomputing Center, Pittsburgh, PA;High Performance Computing Center, Stuttgart, Germany;High Performance Computing Center, Stuttgart, Germany;High Performance Computing Center, Stuttgart, Germany

  • Venue:
  • Future Generation Computer Systems - iGrid 2002
  • Year:
  • 2003

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Abstract

Distributed, on-demand, data-intensive, and collaborative simulation analysis tools are being developed by an international team to solve real problems such as bioinformatics applications. The project consists of three distinct focuses: compute, visualize, and collaborate. Each component utilizes software and hardware that performs across the International Grid. Computers in North America, Asia, and Europe are working on a common simulation programs. The results are visualized in a multi-way 3D visualization collaboration session where additional compute requests can be submitted in real-time. Navigation controls and data replication issues are addressed and solved with a scalable solution.