Title :
The MGAP family of processor arrays
Author :
Acken, Kevin ; Gayles, Eric ; Kelliher, Tom ; Owens, Robert M. ; Irwin, Mary Jane
Author_Institution :
Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
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
Keywords :
VLSI; add-on boards; coprocessors; data compression; digital signal processing chips; discrete cosine transforms; fractals; image coding; motion estimation; parallel algorithms; parallel architectures; parallel machines; real-time systems; DCT; MGAP family; MGAP-1; MGAP-2; Micro-Grain Array Processor; add-on board; compression algorithms; discrete cosine transform; fine grain processing elements; fractal compression; image processing algorithms; massively parallel SIMD arrays; motion estimation; performance comparisons; processor arrays; real time operation; signal processing algorithms; Algorithm design and analysis; Costs; Discrete cosine transforms; Image processing; Motion estimation; Parallel machines; Signal processing; Standards development; Video compression; Workstations;
Conference_Titel :
VLSI, 1997. Proceedings. Seventh Great Lakes Symposium on
Conference_Location :
Urbana-Champaign, IL
Print_ISBN :
0-8186-7904-2
DOI :
10.1109/GLSV.1997.580419
