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University of Illinois at Urbana-Champaign

Processor Arrays for Problems in Computational Physics (Parallel)

Abstract

dc:description

As the cost of hardware components drops, the design and development of processor array systems, consisting of thousands of relatively simple processing elements, becomes possible. An example of such an architecture is the Goodyear Aerospace Massively Parallel Processor, which was originally conceived as a machine to support high-speed image processing. Starting from this existing system configuration, we show how such a design is used very effectively to solve large-scale scientific problems with heavy floating-point computation requirements. Results from the implementation of algorithms for the fast solution of equations occurring in numerical weather prediction and computational fluid dynamics on such systems are presented.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gallopoulos, Efstratios

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Identifier
(UMI)AAI8511610
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/69541

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Gallopoulos, Efstratios. Processor Arrays for Problems in Computational Physics (Parallel). Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/69541