{"title":"HW-BCP: A Custom Hardware Accelerator for SAT Suitable for Single Chip Implementation for Large Benchmarks","authors":"Soowang Park, J. Nam, S. Gupta","doi":"10.1145/3394885.3431413","DOIUrl":null,"url":null,"abstract":"Boolean Satisfiability (SAT) has broad usage in Electronic Design Automation (EDA), artificial intelligence (AI), and theoretical studies. Further, as an NP-complete problem, acceleration of SAT will also enable acceleration of a wide range of combinatorial problems.We propose a completely new custom hardware design to accelerate SAT. Starting with the well-known fact that Boolean Constraint Propagation (BCP) takes most of the SAT solving time (80-90%), we focus on accelerating BCP. By profiling a widely-used software SAT solver, MiniSAT v2.2.0 (MiniSAT2) [1], we identify opportunities to accelerate BCP via parallelization and elimination of von Neumann overheads, especially data movement. The proposed hardware for BCP (HW-BCP) achieves these goals via a customized combination of content-addressable memory (CAM) cells, SRAM cells, logic circuitry, and optimized interconnects.In 65nm technology, on the largest SAT instances in the SAT Competition 2017 benchmark suite, our HW-BCP dramatically accelerates BCP (4.5ns per BCP in simulations) and hence provides a 62-185x speedup over optimized software implementation running on general purpose processors.Finally, we extrapolate our HW-BCP design to 7nm technology and estimate area and delay. The analysis shows that in 7nm, in a realistic chip size, HW-BCP would be large enough for the largest SAT instances in the benchmark suite.","PeriodicalId":186307,"journal":{"name":"2021 26th Asia and South Pacific Design Automation Conference (ASP-DAC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 26th Asia and South Pacific Design Automation Conference (ASP-DAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3394885.3431413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Boolean Satisfiability (SAT) has broad usage in Electronic Design Automation (EDA), artificial intelligence (AI), and theoretical studies. Further, as an NP-complete problem, acceleration of SAT will also enable acceleration of a wide range of combinatorial problems.We propose a completely new custom hardware design to accelerate SAT. Starting with the well-known fact that Boolean Constraint Propagation (BCP) takes most of the SAT solving time (80-90%), we focus on accelerating BCP. By profiling a widely-used software SAT solver, MiniSAT v2.2.0 (MiniSAT2) [1], we identify opportunities to accelerate BCP via parallelization and elimination of von Neumann overheads, especially data movement. The proposed hardware for BCP (HW-BCP) achieves these goals via a customized combination of content-addressable memory (CAM) cells, SRAM cells, logic circuitry, and optimized interconnects.In 65nm technology, on the largest SAT instances in the SAT Competition 2017 benchmark suite, our HW-BCP dramatically accelerates BCP (4.5ns per BCP in simulations) and hence provides a 62-185x speedup over optimized software implementation running on general purpose processors.Finally, we extrapolate our HW-BCP design to 7nm technology and estimate area and delay. The analysis shows that in 7nm, in a realistic chip size, HW-BCP would be large enough for the largest SAT instances in the benchmark suite.