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|Title:||Processor Arrays for Problems in Computational Physics (Parallel)|
|Department / Program:||Computer Science|
|Degree Granting Institution:||University of Illinois at Urbana-Champaign|
|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.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1985.
|Date Available in IDEALS:||2014-12-15|