What question did this study set out to answer?

To synthesize progress in parallel algorithm design and evaluate the persistent difficulties in developing effective parallel programming languages.

March 1, 1996Communications of the ACMOpen Access

Programming parallel algorithms

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Authors

GBGuy E. BlellochUniversity of California, Riverside

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Implication

Review highlights progress in parallel algorithm design across computational domains, indicating a persistent gap in effective parallel programming languages.

Key Points

To synthesize progress in parallel algorithm design and evaluate the persistent difficulties in developing effective parallel programming languages.
Reviewed two decades of developments in theoretical and applied parallel algorithms.
Assessed the translation of parallel computing principles into practical implementations and sequential algorithmic enhancements.
Efficient parallel algorithms have been established for most computational problems with existing sequential solutions.
Theoretical and practical advances in parallelism have directly improved the efficiency and design of sequential algorithms.
Language development for programming parallel algorithms has significantly lagged behind algorithmic theory and implementation.

Cite This Study

Guy E. Blelloch (1996) studied this question.

synapsesocial.com/papers/6a0f98645725bbd5cc5fe55d https://doi.org/10.1145/227234.227246

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Implication

Review highlights progress in parallel algorithm design across computational domains, indicating a persistent gap in effective parallel programming languages.

Programming parallel algorithms

Discussion

Member takes

Implication

Key Points

Cite This Study

Programming parallel algorithms

Discussion

Member takes

Implication

Key Points

Cite This Study

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