Proteus: A reconfigurable computational network for computer vision

Robert M. Haralick, Arun K. Somani, Craig Wittenbrink, Robert Johnson, Kenneth Cooper, Linda G. Shapiro, Ihsin T. Phillips, Jenq Neng Hwang, William Cheung, Yung Hsi Yao, Chung Ho Chen, Larry Yang, Brian Daugherty, Bob Lorbeski, Kent Loving, Tom Miller, Larye Parkins, Steve Soos

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The Proteus architecture is a highly parallel, multiple instruction, multiple data machine (MIMD) optimized for large granularity tasks such as machine vision and image processing. The system can achieve 20 gigaflops (80 gigaflops peak). It accepts data via multiple serial links at a rate of up to 640 MB/S. The system employs a hierarchical reconfigurable interconnection network with the highest level being a circuit-switched enhanced hypercube, serial interconnection network for internal data transfers. The system is designed to use 256 to 1024 RISC processors. The processors use 1-MB external read/write allocating caches for reduced multiprocessor contention. The system detects, locates, and replaces faulty subsystems using redundant hardware to facilitate fault tolerance. The parallelism is directly controllable through an advanced software system for partitioning, scheduling, and development. System software includes a translator for the INSIGHT language, a parallel debugger, lowand high-level simulators, and a message-passing system for all control needs. Image-processing application software includes a variety of point operators, neighborhood operators, convolution, and the mathematical morphology operations of binary and gray-scale dilation, erosion, opening, and closing.

Original languageEnglish
Pages (from-to)85-100
Number of pages16
JournalMachine Vision and Applications
Volume8
Issue number2
DOIs
Publication statusPublished - 1995 Mar

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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