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Parallel Execution of a Sequence of tasks on a Asynchronous Multiprocessor.

Gérard M. Baudet, Richard P. Brent, H. T. Kung

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Abstract

Given a sequence of tasks to be performed serially, a parallel algorithm is proposed to accelerate the execution of the tasks on an asynchronous multiprocessor by taking advantage of fluctuations in the execution times. A parallel program requiring no critical section is given to implement the algorithm and its correctness is proved. A spacewise more efficient implementation is also given but requires the use of critical sections. An analysis is presented for both implementations to estimate the speed-up achievable with the parallel algorithm. When the execution times are exponentially distributed, and no critical section is used, the algorithm with k processes yields a speed-up of order sq rt of k. (Author)

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What this paper is about

Given a sequence of tasks to be performed serially, a parallel algorithm is proposed to accelerate the execution of the tasks on an asynchronous multiprocessor by taking advantage of fluctuations in the execution times. A parallel program requiring no critical section is given to implement the algorithm and its correctness is proved. A spacewise more efficient implementation is also given but requires the use of critical sections. An analysis is presented for both implementations to estimate the speed-up achievable with the parallel algorithm. When the execution times are exponentially distributed, and no critical section is used, the algorithm with k processes yields a speed-up of order sq rt of k. (Author)

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Available abstract

Given a sequence of tasks to be performed serially, a parallel algorithm is proposed to accelerate the execution of the tasks on an asynchronous multiprocessor by taking advantage of fluctuations in the execution times. A parallel program requiring no critical section is given to implement the algorithm and its correctness is proved. A spacewise more efficient implementation is also given but requires the use of critical sections. An analysis is presented for both implementations to estimate the speed-up achievable with the parallel algorithm. When the execution times are exponentially distributed, and no critical section is used, the algorithm with k processes yields a speed-up of order sq rt of k. (Author)

Key concepts: Asynchronous communication, Computer science, Multiprocessing, Parallel computing, Critical section, Correctness, Sequence (biology), Implementation

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