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Partitioning parallel programs for macro-data flow

Technical Report ·
OSTI ID:6595508
;

Partitioning techniques are necessary to execute functional programs at a coarse granularity. Fine-granularity execution is inefficient on general-purpose multiprocessors. There is a trade-off between parallelism and the overhead of exploiting parallelism. A compile-time partitioning approach to achieve this trade-off is presented.

Research Organization:
Stanford Univ., CA (USA). Computer Systems Lab.
OSTI ID:
6595508
Report Number(s):
AD-A-177774/7/XAB
Country of Publication:
United States
Language:
English

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Related Subjects

99 GENERAL AND MISCELLANEOUS
990210* -- Supercomputers-- (1987-1989)
ARRAY PROCESSORS
DATA-FLOW PROCESSING
PARALLEL PROCESSING
PROGRAMMING