HELP! * GREEN=global GREY=local Global HTML version of Foils prepared 10 November 1995

Foil 4 Superficial Observations on High Performance Computing-I

From NII Technologies from WebTop Productivity to Computing Minnesota Presentations at Cray Research and University -- 13-14 November 95. by Geoffrey C. Fox * See also color IMAGE
Secs 87
Parallel Computing Works!
Technology well understood for Science and Engineering
  • Good parallel algorithms, several examples of major applications in many fields exploring range of issues
  • Data and Message Parallel programming models developed
Supercomputing market small (few percent at best) and probably decreasing in size
  • Essential to have good common software infrastructure
  • Productivity tools -- Software Engineering -- Programming Support tools POOR
  • The parallel software "industry" is very small
Northeast Parallel Architectures Center, Syracuse University, npac@npac.syr.edu

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