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Automatic Word-Length Determination Tool Based on Simulated Annealing Algorithm |
LI Yuan-1, JIANG Jiang-2, ZHANG Min-Xuan-1, WEI Shao-Jun-3 |
(1.College of Computer, National University of Defense Technology, Changsha 410073, China;2.School of Microelectronics, Shanghai Jiaotong University, Shanghai 200240, China;3.Institute of Microelectronics, Tsinghua University, Beijing 100084, China) |
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Abstract An automatic word-length determination tool (SATRANS) based on the simulated annealing algorithm was developed. SATRANS can automatically transform the system from floatingpoint model to fixed-point model and provide a series of word-length solutions that form a tradeoff curve for hardware complexity vs. signal quality. SATRANS was demonstrated to find word-length for an infinite impulse response filter (IIR). The results show that SATRANS can provide better word-length solution in comparison to the traditional search method based on greedy strategy. The word-length optimized IIR targeting Xilinx Virtex-6 FPGA device was implemented, which improves the performance by 12.4% and 62.8% while saves almost 93.9% and 97.9% of area in comparison to the IEEE single and double floating-point generators.
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Received: 15 May 2012
Published: 30 January 2013
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