Automatic Word-Length Determination Tool Based on Simulated Annealing Algorithm

LI Yuan1,JIANG Jiang2,ZHANG Min-xuan1,WEI Shao-jun3(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)  

An automatic word-length determination tool(SATRANS) based on the simulated annealing algorithm was developed.SATRANS can automatically transform the system from floating-point 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.

【Fund】： 国家自然科学基金(60970036 61103011);; 教育部博士点基金(20114307110001);; 国家“核高基”重大专项(2009ZX01028-002-002)资助项目
【CateGory Index】： TP301.6

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