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H-BSP: A Hierarchical BSP Computation Model

Published: 01 February 2001 Publication History

Abstract

This paper presents a new parallel computing model, called H-BSP, which adds a hierarchical concept to the BSP(Bulk Synchronous Parallel) computing model. An H-BSP program consists of a number of BSP groups which are dynamically created at run time and executed in a hierarchical fashion. H-BSP allows algorithm designers to develop more efficient algorithms by utilizing processor locality in the program. Based on the distributed memory model, H-BSP provides a group-based programming paradigm and supports Divide & Conquer algorithms efficiently. This paper describes the structure of the H-BSP model, complexity analysis and some examples of H-BSP algorithm. Also presented is the performance characteristics of H-BSP algorithms based on the simulation analysis. Simulation results show that H-BSP takes advantages of processor locality and performs well in low bandwidth networks or in a constant-valence architecture such as 2-dimensional mesh. It is also proved that H-BSP can predict algorithm performance better than BSP, due to its locality-preserving nature.

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Information & Contributors

Information

Published In

cover image The Journal of Supercomputing
The Journal of Supercomputing  Volume 18, Issue 2
Feb. 1, 2001
104 pages
ISSN:0920-8542
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Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 February 2001

Author Tags

  1. BSP
  2. analysis
  3. computation model
  4. processor locality
  5. scalable computing

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