A benchmark diagnostic model generation system
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
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The development of next-generation CAD tools and FPGA architectures requires benchmark circuits to experiment with new algorithms and architectures. There has always been a shortage of good public benchmarks for these purposes, and even companies that have access to proprietary customer designs could benefit from designs that meet size and other particular specifications. In this paper, we present a new method of generating realistic synthetic benchmark circuits to help alleviate this shortage. The method significantly improves the quality of previous work by imposing the natural hierarchy of circuits through clustering and by using a simpler method of characterizing the nature of sequential circuits. Also, in contrast to current constructive generation methods, we employ new iterative techniques in the generation that provide better control over the generated circuit s characteristics. As in previous work, we assess the realism of the generated circuits by comparing properties of real circuits and generated "clones" of the real circuit after placement and routing. On average, the real and clone circuits' total detailed wirelength differed by only 14%, a major improvement over previous results. In addition, the minimum track count was within 14% and the critical path delay was within 10%.