FCM and FCHM Multiprocessors for Computer Vision (Special Issue on Computer Vision)

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概要

• 論文の詳細を見る

• In general, message passing multiprocessors suffer from communication overhead and shared memory multiprocessors suffer from memory contention. Also, data I/O overhead limits performance. In particular, computer vision tasks that require massive computation are strongly affected by these disadvantages. This paper proposes new parallel architectures for computer vision, a Flexibly (Tightly/Loosely) Coupled Multiprocessor (FCM) and a Flexibly Coupled Hypercube Multiprocessor (FCHM) to alleviate these problems. FCM and FCHM have a variable address space memory in which a set of neighboring memory modules can be merged into a shared memory by a dynamically partitionable topology. FCM and FCHM are based on two different topologies: reconfigurable bus and hypercube. The proposed architectures are quantitatively analyzed using computational models and parallel vision algorithms are simulated on FCM and FCHM using the Intel's Personal SuperComputer (iPSC), a hypercube multiprocessor, showing significant performance improvements over that of iPSC.

• 社団法人電子情報通信学会の論文
• 1994-11-25

著者

• Sunwoo Myung

  Dept. Of Electronics Eng. Ajou University

• Aggarwal J.K.

  Computer and Vision Research Center, Univ. of Texas

• Aggarwal J.k.

  Computer And Vision Research Center Univ. Of Texas

関連論文

• FCM and FCHM Multiprocessors for Computer Vision (Special Issue on Computer Vision)

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