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Journal ArticleDOI

Image processing on the massively parallel processor

Potter
- 01 Jan 1983 - 
- Vol. 16, Iss: 1, pp 62-67
TLDR
The massively parallel processor's computing power and extreme flexibility will allow the development of new techniques for scene analysis - realtime scene analysis, for example, in which the sensor can interact with the scene as needed.
Abstract
A review of the massively parallel processor (MPP) is provided. The MPP, a single instruction, multiple data parallel computer with 16K processors being built for NASA by Goodyear Aerospace, can perform over six billion eight-bit adds and 1.8 billion eight-bit multiplies per second. Its SIMD architecture and immense computing power promise to make the MPP an extremely useful and exciting new tool for all types of pattern recognition and image processing applications. The SIMD parallelism can be used to directly calculate 16K statistical pattern recognition results simultaneously. Moreover, the 16K processors can be configured into a two-dimensional array to efficiently extract features from a 128x128 subimage in parallel. The parallel search capability of SIMD architectures can be used to search recognition and production rules in parallel, thus eliminating the need to sort them. This feature is particularly important if the rules are dynamically changing. Finally, the MPP's computing power and extreme flexibility will allow the development of new techniques for scene analysis - realtime scene analysis, for example, in which the sensor can interact with the scene as needed.

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Citations
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TL;DR: Comparison of the operation of the proposed optical logic gate with that of array logic in digital electronics leads to a design concept for an optical parallel array logic system available for optical parallel digital computing.
Patent

Adaptive instruction processing by array processor having processor identification and data dependent status registers in each processing element

TL;DR: In this article, an array processor made up of adaptive processing elements can adapt dynamically to changes in its input data stream, and thus can be dynamically optimized, resulting in greatly enhanced performance at very low incremental cost.
Journal ArticleDOI

SIMD architectures and algorithms for image processing and computer vision

TL;DR: A critical survey of parallel architectures and algorithms for image processing on single-instruction-stream, multiple-data-stream (SIMD) computers with nonshared memory and the effects of architectural decisions on algorithms design are examined.
References
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Proceedings ArticleDOI

Validity of the single processor approach to achieving large scale computing capabilities

TL;DR: In this paper, the authors argue that the organization of a single computer has reached its limits and that truly significant advances can be made only by interconnection of a multiplicity of computers in such a manner as to permit cooperative solution.
Journal ArticleDOI

Design of a Massively Parallel Processor

TL;DR: The massively parallel processor (MPP) as discussed by the authors was designed to process satellite imagery at high rates, achieving 8-bit integer data, addition can occur at 6553 million operations per second (MOPS) and multiplication at 1861 MOPS.
Journal ArticleDOI

Layered "Recognition Cone" Networks That Preprocess, Classify, and Describe

TL;DR: This note gives a brief overview of six types of pattern recognition programs that: 1) preprocess, then characterize; 2) pre Process and characterize together; 3) pre process and characterize into a "recognition cone;" 4) describe as well as name; 5) compose interrelated descriptions; and 6) converse.
Journal Article

Beyond the supercomputer

TL;DR: A NASA-directed development of massively parallel processor (MPP) computers is outlined, noting intended applications for data processing for near term earth resource and environment mapping, radar, and television transmissions.
Journal ArticleDOI

Computers: Beyond the supercomputer: NASA is developing ultrafast machines to process satellite data that would choke a mere supercomputer

TL;DR: Describes how NASA in the USA is developing ultrafast machines to process satellite data that will be up to 1000 times faster than current fast computers to deal with the radar or television pictures that satellites will be capable of broadcasting in the late 1980s.