A RECONFIGURABLE COARSE-GRAIN DATA-PATH FOR ACCELERATING COMPUTATIONAL INTENSIVE KERNELS
M.D. Galanis, Georgios A. Theodoridis, Spyros Tragoudas, C.E. Goutis · Journal of Circuits Systems and Computers · 2005
In this paper, a high-performance reconfigurable coarse-grain data-path, part of a hybrid reconfigurable platform, is introduced. The data-path consists of coarse-grain components that their flexibility and universality is shown to increase the system's performance due to significant reductions in latency. A methodology of unsophisticated but efficient algorithms for mapping computational intensive applications on the proposed data-path is also presented. Results on Digital Signal Processing and multimedia benchmarks show an average execution cycles reduction of 20%, combined with an area consumption decrease, when the proposed data-path is compared with a high-performance one. The average cycles reduction is even greater, 44%, when the comparison is held with a data-path that instantiates primitive computational resources on FPGA hardware.