2017 7th International Symposium on Embedded Computing and System Design (ISED) 2017
DOI: 10.1109/ised.2017.8303924
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Towards lightweight satisfiability solvers for self-verification

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Cited by 8 publications
(3 citation statements)
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“…Works on targeted algorithm engineering for SAT-solvers are extensive. Just to name a few examples, there is work on exploiting features such as optimizing memory footprints for the architecture [10], on implementing cache-aware [13], on using huge pages [22], on how to benefit from parallel solving [35] or employing inprocessing. Inprocessing particularly takes advantage of modern hardware as one can execute much more instructions on a modern CPU than accessing bytes on memory [31,51].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Works on targeted algorithm engineering for SAT-solvers are extensive. Just to name a few examples, there is work on exploiting features such as optimizing memory footprints for the architecture [10], on implementing cache-aware [13], on using huge pages [22], on how to benefit from parallel solving [35] or employing inprocessing. Inprocessing particularly takes advantage of modern hardware as one can execute much more instructions on a modern CPU than accessing bytes on memory [31,51].…”
Section: Related Workmentioning
confidence: 99%
“…Of course, the advancements in hardware and algorithms cannot be separated entirely. Targeted algorithm engineering can make use of new hardware features [10,13,22,39] and hardware development can be guided by the specific demands of modern algorithms. We are well aware that this can quickly end up in comparing apples and oranges.…”
Section: Introductionmentioning
confidence: 99%
“…The concept of self-verification as well as some results based on this concept have been presented in [22], [23], [24], [25].…”
Section: B Self-verificationmentioning
confidence: 99%