MGAP family of processor arrays

Kevin Acken, Eric Gayles, Tom Kelliher, Robert M. Owens, Mary Jane Irwin

Research output: Contribution to journalConference articlepeer-review


The Micro-Grain Array Processor (MGAP) is a family of massively parallel SIMD arrays of fine grain processing elements powerful enough to perform complex signal and image processing algorithms in real time. The MGAP was also designed to be compact enough to conveniently fit as an add-on board to a standard workstation at a fraction of the development cost of other comparable parallel machines. In this paper we update the status of the MGAP-2, which became operational in October 1996, and present a comparison of the MGAP-1 and the MGAP-2. We also give performance comparisons of the two designs through three popular image/video compression algorithms: the Discrete Cosine Transform, Motion Estimation, and Fractal Compression.

Original languageEnglish (US)
Pages (from-to)105-110
Number of pages6
JournalProceedings of the IEEE Great Lakes Symposium on VLSI
StatePublished - 1997
EventProceedings of the 1997 7th Great Lakes Symposium on VLSI - Urbana-Champaign, IL, USA
Duration: Mar 13 1997Mar 15 1997

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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