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Department of Computer Science

Parallelisation of algorithms

Abstract

dc:description.abstract

Most numerical software involves performing an extremely large volume of algebraic computations. This is both costly and time consuming in respect of computer resources and, for large problems, often super-computer power is required in order for results to be obtained in a reasonable amount of time. One method whereby both the cost and time can be reduced is to use the principle "Many hands make light work", or rather, allow several computers to operate simultaneously on the code, working towards a common goal, and hopefully obtaining the required results in a fraction of the time and cost normally used. This can be achieved through the modification of the costly, time consuming code, breaking it up into separate individual code segments which may be executed concurrently on different processors. This is termed parallelisation of code. This document describes communication between sequential processes, protocols, message routing and parallelisation of algorithms. In particular, it deals with these aspects with reference to the Transputer as developed by INMOS and includes two parallelisation examples, namely parallelisation of code to study airflow and of code to determine far field patterns of antennas. This document also reports on the practical experiences with programming in parallel.

Degree

thesis:*
Grantor dc:publisher.institution
Department of Computer Science
Year dc:date.issued
1990

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Schuilenburg, Alexander Marius
Advisors dc:contributor.advisor
  • Gledhill, I M A
  • Kritzinger, Pieter S

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/22211
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/22211

Chain of custody

source
Harvested from
University of Cape Town
Base URL
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Last updated
2026-07-22
Source record
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related terms
citation

Schuilenburg, Alexander Marius. Parallelisation of algorithms. Department of Computer Science, 1990. http://hdl.handle.net/11427/22211