IEEE CS Technical Committee on Scalable Computing

Technical Area: Scientific Computing

 
IEEE Computer Society Technical Committee on Scalable Computing

 

 

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Introduction

Scientific computing is the computer science and engineering component for advancing knowledge discovery and engineering design through computational modeling and simulation. The primary focus is the development of algorithms and software for solving numeric and nonnumeric problems that can enable large scale modeling and simulations from a variety of disciplines. Scientific computing tends to be naturally cross-cutting, involving aspects of high performance architectures, compilers, languages and message passing extensions for parallelism, parallel, distributed, and grid computing, numerical algorithms, and data mining.

 

Links to Related Conferences and Reports

  • SuperComputing 2005: IEEE/ACM International conference on high performance computing.
  • Cluster 2005: IEEE cluster conference.
  • IPDPS 2006: IEEE International Parallel & Distributed Processing Symposium.
  • HP-PAC 2006: High performance power aware computing workshop at IPDPS06.
  • The NETLIB Repository: A collection of scientific computing software, benchmarks and databases.
  • SciDAC: The DOE scientific discoverry through advanced computing initiative.
  • Getting up to Speed: The Future of Supercomputing: Report from the National Research Council, Committee on the Future of Supercomputing.

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    Coordinator: Padma Raghavan