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Parallel Scientific ComputationA Structured Approach using BSP and MPI$
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Rob H. Bisseling

Print publication date: 2004

Print ISBN-13: 9780198529392

Published to Oxford Scholarship Online: September 2007

DOI: 10.1093/acprof:oso/9780198529392.001.0001

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INTRODUCTION

INTRODUCTION

Chapter:
(p.1) 1 INTRODUCTION
Source:
Parallel Scientific Computation
Author(s):

Rob H. Bisseling

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198529392.003.0001

This chapter is a self-contained tutorial which discusses how to get started quickly with parallel programming and how to design and implement algorithms in a structured way using supersteps. It introduces a simple target architecture for designing parallel algorithms, the bulk synchronous parallel (BSP) computer. Using the computation of the inner product of two vectors as an example, the chapter shows how an algorithm is designed hand in hand with its cost analysis. The algorithm is implemented in a short program that demonstrates the most important primitives of the communication library BSPlib. Furthermore, a benchmarking program is given for measuring the BSP parameters of a parallel computer. The BSP computer has distributed memory. The fundamental question of choosing a suitable data distribution for a given problem is discussed using the block and cyclic distributions as an example.

Keywords:   benchmarking, block distribution, bulk synchronous parallel, communication, cyclic distribution, parallel programming, superstep

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