2001•Parallel Processing LettersRequires access

A NEW WAY TO DIVIDE AND CONQUER

Alexander Tiskin

Open publisher page 5 citations

Abstract

Valiant's model of bulk-synchronous parallel (BSP) computation does not allow the programmer to synchronize a subset, rather than the complete set of a parallel computer's processors. This is perceived by many to be an obstacle to expressing divide-and-conquer algorithms in the BSP model. We argue that the divide-and-conquer paradigm fits naturally into the BSP model, without any need for subset synchronization. The proposed method of divide-and-conquer BSP programming is fully compliant with the BSP computation model. The method is based on sequentially interleaved threads of BSP computation, called superthreads.

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What this paper is about

Valiant's model of bulk-synchronous parallel (BSP) computation does not allow the programmer to synchronize a subset, rather than the complete set of a parallel computer's processors. This is perceived by many to be an obstacle to expressing divide-and-conquer algorithms in the BSP model. We argue that the divide-and-conquer paradigm fits naturally into the BSP model, without any need for subset synchronization. The proposed method of divide-and-conquer BSP programming is fully compliant with the BSP computation model. The method is based on sequentially interleaved threads of BSP computation, called superthreads.

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Available abstract

Valiant's model of bulk-synchronous parallel (BSP) computation does not allow the programmer to synchronize a subset, rather than the complete set of a parallel computer's processors. This is perceived by many to be an obstacle to expressing divide-and-conquer algorithms in the BSP model. We argue that the divide-and-conquer paradigm fits naturally into the BSP model, without any need for subset synchronization. The proposed method of divide-and-conquer BSP programming is fully compliant with the BSP computation model. The method is based on sequentially interleaved threads of BSP computation, called superthreads.

Key concepts: Divide and conquer algorithms, Computer science, Parallel computing, Bulk synchronous parallel, Computation, Programmer, Synchronization (alternating current), Set (abstract data type)

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