HELP! * GREY=local LOCAL HTML version of Foils prepared June 8,1995
Foil 22 Parallel Computing Works!
From Overview of InfoMall --1995 Used in General NPAC and InfoMall Presentations -- January to December 1995. byGeoffrey C. Fox * Important Information in IMAGE
What have we learnt ?
Essentially all large problems parallelize in principle
Written from scratch by an expert but
Very Hard if need to Port existing codes from ill-documented Fortran or C++
See "Parallel Computing Works" Morgan Kaufman, 1994.
Experience dominated by academic and research applications as opposed to real = "industry and government" problems
Technology (ARPA) will give us (experimental) teraflop (1012 operations per second) machine by 1995; production teraflop machine by 2000.
Several hardware architectures "work"
Software lagging behind hardware and parallel algorithms
Need productive (easy to use) portable (runs on all current machines) scalable ( will run on future parallel machines ) software.
e.g. High Performance Fortran addresses these goals.
Northeast Parallel Architectures Center, Syracuse University, npac@npac.syr.edu If you have any comments about this server, send e-mail to webmaster@npac.syr.edu.
