Title | ||
---|---|---|
A Reconfigurable Coarse-grain Data-path for Accelerating Computational Intensive Kernels |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1142/S0218126605002659 | JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS |
Keywords | Field | DocType |
hybrid platform,coarse-grain component,reconfigurable coarse-grain data-path,chaining,scheduling | Digital signal processing,Chaining,Data path,Scheduling (computing),Computer science,Latency (engineering),Parallel computing,Field-programmable gate array | Journal |
Volume | Issue | ISSN |
14 | 4 | 0218-1266 |
Citations | PageRank | References |
6 | 0.47 | 13 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michalis D. Galanis | 1 | 94 | 15.60 |
George Theodoridis | 2 | 30 | 4.79 |
Spyros Tragoudas | 3 | 625 | 88.87 |
Constantinos E. Goutis | 4 | 75 | 16.82 |