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Productive Parallel Programming: The PCN Approach
Author(s) -
Ian Foster,
Robert Olson,
Steven Tuecke
Publication year - 1992
Publication title -
scientific programming
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.269
H-Index - 36
eISSN - 1875-919X
pISSN - 1058-9244
ISBN - 0-8186-6502-5
DOI - 10.1155/1992/519840
Subject(s) - computer science , debugging , fortran , programming language , parallel computing , reuse , workstation , simple (philosophy) , code (set theory) , notation , computer architecture , software engineering , operating system , ecology , philosophy , arithmetic , mathematics , set (abstract data type) , epistemology , biology
We describe the PCN programming system, focusing on those features designed to improve the productivity of scientists and engineers using parallel supercomputers. These features include a simple notation for the concise specification of concurrent algorithms, the ability to incorporate existing Fortran and C code into parallel applications, facilities for reusing parallel program components, a portable toolkit that allows applications to be developed on a workstation or small parallel computer and run unchanged on supercomputers, and integrated debugging and performance analysis tools. We survey representative scientific applications and identify problem classes for which PCN has proved particularly useful

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