Processor Arrays for Problems in Computational Physics (Parallel)
Gallopoulos, Efstratios
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Permalink
https://hdl.handle.net/2142/69541
Description
Title
Processor Arrays for Problems in Computational Physics (Parallel)
Author(s)
Gallopoulos, Efstratios
Issue Date
1985
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Abstract
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.
The underlying architecture imposes various constraints on the types of problems that may be solved effectively. Consequently, the process of finding efficient methods for circumventing some of these constraints is discussed as an integral part of algorithm design for processor arrays. As a conclusion, possible advancements to the design are indicated that will enhance the architecture to provide an even more effective computational tool.
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