2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) 2020
DOI: 10.23919/mipro48935.2020.9245400
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HPC-based parallel software for solving applied Boolean satisfiability problems

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Cited by 3 publications
(5 citation statements)
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“…The runtime for k = 31 is 51m 54.39s (for Trivium) as shown in [24]. In our case, the runtime of the parallel HPCAllsat [21] running on 32 core (Intel(R) Xeon(R) CPU E5-2695 v4 2.10 GHz) for k = 31 is 34m 56.03s (for Trivium) using the BCM-based approach.…”
Section: Features Of Our Approach To Solving the Problemmentioning
confidence: 81%
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“…The runtime for k = 31 is 51m 54.39s (for Trivium) as shown in [24]. In our case, the runtime of the parallel HPCAllsat [21] running on 32 core (Intel(R) Xeon(R) CPU E5-2695 v4 2.10 GHz) for k = 31 is 34m 56.03s (for Trivium) using the BCM-based approach.…”
Section: Features Of Our Approach To Solving the Problemmentioning
confidence: 81%
“…In the case of small and medium BDS dimensions, the sequential AllSAT solver [20] is used (launched by the non-resource intensive microservice BM SAT-S). In another case, parallel AllSAT solver HPCAllsat [21] developed by authors is used (launched by the resource-intensive microservice BM SAT-P). The BM SAT-P requires a high-performance resource for its running.…”
Section: Features Of the Implementation Of Microservices For Solving The Problemmentioning
confidence: 99%
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“…These microservices are implemented based on the AllSAT solver nbc_minisat_all-1.0.2 [26] and the QSAT solver DepQBF [27]. In the case of a high dimension of the BDS state vector, previously developed parallel solvers [28,29] of a similar purpose are used.…”
Section: Some Aspects Of Program Implementationmentioning
confidence: 99%