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Published at November 17

Timing-driven Approximate Logic Synthesis Based on Double-chase Grey Wolf Optimizer

cs.AR

Released Date: November 17, 2024

Authors: Xiangfei Hu¹, Yuyang Ye², Tinghuan Chen³, Hao Yan¹, Bei Yu²

Aff.: ¹Southeast University; ²CUHK; ³CUHK-Shenzhen

Arxiv: http://arxiv.org/abs/2411.10990v1

Refer to caption

Circuit	$\text{Area}_{con}$	VECBEE-S [9]		VaACS [5]		HEDALS[6]		GWO (single-chase)		Ours
Circuit	( $\mu m^{2}$ )	$\text{Ratio}_{cpd}$	runtime(s)	$\text{Ratio}_{cpd}$	runtime(s)	$\text{Ratio}_{cpd}$	runtime(s)	$\text{Ratio}_{cpd}$	runtime(s)	$\text{Ratio}_{cpd}$	runtime(s)
Cavlc	450.00	0.9219	60.03	0.8745	356.89	0.9071	194.43	0.8963	407.25	0.8602	310.42
c880	177.00	0.9026	43.11	0.9221	227.13	0.8913	104.00	0.9183	201.51	0.8399	193.86
c1908	223.00	0.8679	65.32	0.5166	235.68	0.3372	310.42	0.5021	307.56	0.3865	202.79
c2670	288.00	0.6708	308.16	0.8101	477.92	0.7589	250.28	0.7703	313.99	0.6314	339.63
c3540	459.00	0.9670	391.42	0.9729	435.26	0.9203	373.26	0.9224	479.88	0.8732	324.59
c5315	1129.00	0.9113	1857.32	0.8599	1963.55	0.8270	1662.08	0.8165	1655.07	0.8034	1449.37
c7552	939.00	0.9262	1726.27	0.9133	1336.64	0.7391	1315.85	0.8877	1420.32	0.7063	1279.18
Average	523.57	0.8811	635.94	0.8385	719.01	0.7687	601.47	0.8162	683.65	0.7287	585.69