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So here is a recipe for developing HPCC (parallel) applications as of August 1998
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Use MPI for data parallel programs as alternatives are HPF, HPC++ or parallelizing compilers today
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Neither HPF or HPC++ has clear long term future for implementations -- ideas are sound
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MPI will run on PC clusters as well as customized parallel machines -- parallelizing compilers will not work on distributed memory machines
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Today Fortran and C are good production languages
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Today Java can be used for client side applets and in systems middleware but too slow for production scientific code
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This should change over next year with better Java compilers -- including "native" compilers which do not translate to Java Virtual Machine but go directly to native machine language
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Use metacomputers for pleasingly parallel and metaproblems -- not for closely knit problems with tight synchronization between parts
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Use where possible web and distributed object technology for "coordination"
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pleasingly parallel problems can use MPI or web/metacomputing technology
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