SAT-Accel: A Modern SAT Solver on a FPGA

Boolean satisfiability (SAT) solving is the first known NP-complete problem and is widely used in many application domains. Over the years, there have been so many consistent improvements in this area such that larger instances can be solved relatively quickly. Although these improvements have found their way onto CPU implementations, there has been limited progress adopting this on hardware accelerators mainly because it is difficult to implement the dynamic data structures needed to support a modern SAT solving algorithm.

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Publication Details

Published
2025-02-26
DOI
https://doi.org/10.1145/3706628.3708869
Citations
5
Primary Topic
Formal Methods in Verification
Type
article
Field-Weighted Citation Impact
7.52
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article

SAT-Accel: A Modern SAT Solver on a FPGA

Jason Cong, Mau-Chung Frank Chang, Michael Lo
5 citations
Formal Methods in Verification
7.52
article

SAT-Accel: A Modern SAT Solver on a FPGA

Jason Cong, Mau-Chung Frank Chang, Michael Lo
article en
5 citations

Abstract

Boolean satisfiability (SAT) solving is the first known NP-complete problem and is widely used in many application domains. Over the years, there have been so many consistent improvements in this area such that larger instances can be solved relatively quickly. Although these improvements have found their way onto CPU implementations, there has been limited progress adopting this on hardware accelerators mainly because it is difficult to implement the dynamic data structures needed to support a modern SAT solving algorithm.

University of California, Los Angeles (US)
Openalex Percentile: Top 3%
Formal Methods in Verification
7.52
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