Accelerating DSP Applications on a Mixed Granularity Platform with a New Reconfigurable Coarse-Grain Data-Path

M. D. Galanis; G. Theodoridis; S. Tragoudas; D. Soudris; C. E. Goutis

doi:10.1109/FCCM.2004.11

Previous
Next
Table of Contents

Proceedings. 12th Annual IEEE Symposium on Field-Programmable Custom Computing Machines

Accelerating DSP Applications on a Mixed Granularity Platform with a New Reconfigurable Coarse-Grain Data-Path

Year: 2004, Pages: 275-276

DOI Bookmark: 10.1109/FCCM.2004.11

Authors

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

Abstract

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.