@inproceedings{HartungKaiser, author = {Hartung, Marc and Kaiser, Benjamin}, title = {Crafted Benchmarks with Artificial Community Structure and Known Complexity}, series = {Proceedings of SAT Competition 2020: Solver and Benchmark Descriptions}, booktitle = {Proceedings of SAT Competition 2020: Solver and Benchmark Descriptions}, pages = {89 -- 90}, language = {en} } @inproceedings{Hartung, author = {Hartung, Marc}, title = {CTSat: C++ Template Abstractions for Dynamic Interchangeable SAT Solver Features}, series = {Proceedings of SAT Competition 2020: Solver and Benchmark Descriptions}, booktitle = {Proceedings of SAT Competition 2020: Solver and Benchmark Descriptions}, pages = {32 -- 33}, language = {en} } @inproceedings{HartungSchintke, author = {Hartung, Marc and Schintke, Florian}, title = {Learned Clause Minimization in Parallel SAT Solvers}, series = {Pragmatics of SAT 2019}, booktitle = {Pragmatics of SAT 2019}, pages = {1 -- 11}, abstract = {Learned clauses minimization (LCM) let to performance improvements of modern SAT solvers especially in solving hard SAT instances. Despite the success of LCM approaches in sequential solvers, they are not widely incorporated in parallel SAT solvers. In this paper we explore the potential of LCM for parallel SAT solvers by defining multiple LCM approaches based on clause vivification, comparing their runtime in different SAT solvers and discussing reasons for performance gains and losses. Results show that LCM only boosts performance of parallel SAT solvers on a fraction of SAT instances. More commonly applying LCM decreases performance. Only certain LCM approaches are able to improve the overall performance of parallel SAT solvers.}, language = {en} } @inproceedings{KaiserHartung, author = {Kaiser, Benjamin and Hartung, Marc}, title = {PauSat}, series = {Proceedings of SAT Competition 2020: Solver and Benchmark Descriptions}, booktitle = {Proceedings of SAT Competition 2020: Solver and Benchmark Descriptions}, pages = {34 -- 35}, language = {en} } @inproceedings{HartungSchintkeSchuett, author = {Hartung, Marc and Schintke, Florian and Sch{\"u}tt, Thorsten}, title = {Pinpoint Data Races via Testing and Classification}, series = {2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW); 3rd International Workshop on Software Faults (IWSF 2019)}, booktitle = {2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW); 3rd International Workshop on Software Faults (IWSF 2019)}, doi = {10.1109/ISSREW.2019.00100}, pages = {386 -- 393}, language = {en} } @inproceedings{Hartung, author = {Hartung, Marc}, title = {ZIB_Glucose: Luby Blocked Restarts and Dynamic Vivification}, series = {Proceedings of SAT Race 2019 : Solver and Benchmark Descriptions}, booktitle = {Proceedings of SAT Race 2019 : Solver and Benchmark Descriptions}, pages = {43 -- 44}, language = {en} }