A distributed-memory multi-thread multiprocessor architecture for computer vision and image processing: Optimized version of AMP

Rin Ichiro Taniguchi, Tetsuo Kawano, Makoto Amamiya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Presents a massively parallel machine for image processing and computer vision, designed to improve the AMP (Autonomous Multiprocessor), a previously designed pure-dataflow-based multiprocessor system for image processing, and to make it faster and more efficient for image processing and computer vision tasks. In the basic design of the AMP there was room for improvement, and, therefore, the authors have recently begun to redesign an improved version of the AMP. The key point of the improvement is to increase the efficiency of execution, especially by optimizing its token matching mechanism, which is indispensable for dataflow-based processors, and the flexibility in its resource management mechanism. The authors first discuss the defects of the previous image processors, then give an overview of the original AMP design. The methodology of its optimization, and the improved system design are presented.

Original languageEnglish
Title of host publicationProceedings of the 26th Hawaii International Conference on System Sciences, HICSS 1993
PublisherIEEE Computer Society
Pages151-160
Number of pages10
ISBN (Electronic)0818632305
DOIs
Publication statusPublished - 1993
Event26th Hawaii International Conference on System Sciences, HICSS 1993 - Wailea, United States
Duration: Jan 8 1993 → …

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume1
ISSN (Print)1530-1605

Conference

Conference26th Hawaii International Conference on System Sciences, HICSS 1993
Country/TerritoryUnited States
CityWailea
Period1/8/93 → …

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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