基于fpga的技术映射分解策略及其性能

H. Selvaraj, M. Nowicka, T. Luba
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引用次数: 3

摘要

现有的面向fpga的算法可以分为两类:最小化解决方案中lut的数量(MIS-pga, Trade和ASYL);最小化解决方案的延迟(DAG-Map, SWEEP和Flow-map)。一些算法已经实现了面积和延迟最小化版本,例如MIS-pga和ASYL。来自波兰华沙理工大学和澳大利亚莫纳什大学的两个合作小组开发了单输出和多输出布尔函数的分解理论和程序。这些包括平衡分解算法,在合成过程的每个阶段应用并行或串行分解。该算法已在实验逻辑综合工具DEMAIN中实现。最近对MCNC和工业基准的测试表明,DEMAIN的设计比主要FPGA供应商的软件更经济。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decomposition strategies and their performance in FPGA-based technology mapping
Existing FPGA-oriented algorithms can be divided into two categories: minimising the number of LUTs in the solution (MIS-pga, Trade, and ASYL); and minimising the delay in the solution (DAG-Map, SWEEP, and Flow-map). Several algorithms have been implemented with both area and delay minimisation versions, for example MIS-pga and ASYL. Two collaborating groups from Warsaw University of Technology, Poland and Monash University, Australia have developed decomposition theory and procedures for single and multiple-output Boolean functions. These include a balanced decomposition algorithm which applies either parallel or serial decomposition at each phase of the synthesis process. The algorithm has been implemented in an experimental logic synthesis tool DEMAIN. Recent tests on MCNC and industrial benchmarks show that DEMAIN produces much more economical designs than major FPGA vendors software.
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