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