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Accelerating DSP Applications on a Mixed Granularity Platform with a New Reconfigurable Coarse-Grain Data-Path
Napa, California April 20-April 23
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FCCM.2004.1112th Annual IEEE Symposium on Field-P ...
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M. D. Galanis, University of Patras, Greece
G. Theodoridis, Aristotle University, Greece
S. Tragoudas, Southern Illinois University, USA
D. Soudris, Democritus University, Greece
C. E. Goutis, University of Patras, Greece
In this paper, a high performance reconfigurable coarse-grain data-path, part of a mixed-granularity reconfigurable platform, is presented. The computational resources are coarse grain components of the same type. An automated methodology for mapping DSP applications on the data-path is also presented, and it is based on unsophisticated, yet efficient, algorithms. Results on DSP benchmarks show the performance improvements over previously published high-performance data-paths.
Citation:
M. D. Galanis, G. Theodoridis, S. Tragoudas, D. Soudris, C. E. Goutis, "Accelerating DSP Applications on a Mixed Granularity Platform with a New Reconfigurable Coarse-Grain Data-Path," fccm, pp.275-276, 12th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'04), 2004
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