M.Sc. Dominik Schreiber
- Room: 222
- Phone: +49 721 608-46603
- Fax: +49 721 608-43088
- dominik schreiber ∂does-not-exist.kit edu
- www.dominikschreiber.de
Curriculum Vitae
- Double-degree Master studies in Computer Science: Karlsruhe Institute of Technology (KIT), Germany and Grenoble Institut National Polytechnique (INP), France (2016-2018)
- Bachelor studies in Software Engineering (B.Sc.): University of Stuttgart, Germany (2013-2016)
For more details, please consult my private homepage.
Research Interests
- Malleable load balancing strategies in the context of NP-hard computations
- Satisfiability (SAT) solving and its efficient practical usage
- Automated planning, in particular hierarchical planning and SAT-based planning
Software
- Mallob (Malleable Load Balancer / Massively Parallel Logic Backend): Platform for massively parallel and distributed computations, focusing on SAT solving on-demand.
- International SAT Competitions: 1st Place in Cloud Tracks (1600 hardware threads) 2020-2022, further top placings in Parallel Tracks (64 hardware threads) 2021-2022. — press article 2020, website of SAT Competitions
- Nominated for Best Paper Award @ 28th International European Conference on Parallel and Distributed Computing (Euro-Par) 2022
- Lilotane (Lifted Logic for Task Networks): Automated planner for hierarchical planning problems using an advanced encoding into SAT. 2nd place in Total Order Track of International Planning Competition 2020.
- HTN-SAT (Hierarchical Task Networks via SATisfiability): Totally-ordered, quality-aware HTN planning system using incremental SAT solving; predecessor of Lilotane.
Publications
Scalable discrete algorithms for big data applications
Hespe, D.; Hübner, L.; Hübschle-Schneider, L.; Sanders, P.; Schreiber, D.
2023. High Performance Computing in Science and Engineering ’21 – Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2021. Ed.: W. Nagel, 439–449, Springer International Publishing. doi:10.1007/978-3-031-17937-2_27
Hespe, D.; Hübner, L.; Hübschle-Schneider, L.; Sanders, P.; Schreiber, D.
2023. High Performance Computing in Science and Engineering ’21 – Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2021. Ed.: W. Nagel, 439–449, Springer International Publishing. doi:10.1007/978-3-031-17937-2_27
Scalable SAT Solving and its Application. PhD dissertation
Schreiber, D. P.
2023, December 5. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000165224
Schreiber, D. P.
2023, December 5. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000165224
Unsatisfiability proofs for distributed clause-sharing SAT solvers
Michaelson, D.; Schreiber, D.; Heule, M. J. H.; Kiesl-Reiter, B.; Whalen, M. W.
2023. Tools and Algorithms for the Construction and Analysis of Systems : 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Paris, France, April 22–27, 2023, Proceedings, Part I. Ed. by Sriram Sankaranarayanan, 348–366, Springer Nature Switzerland AG. doi:10.1007/978-3-031-30823-9_18
Michaelson, D.; Schreiber, D.; Heule, M. J. H.; Kiesl-Reiter, B.; Whalen, M. W.
2023. Tools and Algorithms for the Construction and Analysis of Systems : 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Paris, France, April 22–27, 2023, Proceedings, Part I. Ed. by Sriram Sankaranarayanan, 348–366, Springer Nature Switzerland AG. doi:10.1007/978-3-031-30823-9_18
Mallob: Scalable SAT Solving On Demand With Decentralized Job Scheduling
Sanders, P.; Schreiber, D.
2022. Journal of Open Source Software, 7 (76), 4591. doi:10.21105/joss.04591
Sanders, P.; Schreiber, D.
2022. Journal of Open Source Software, 7 (76), 4591. doi:10.21105/joss.04591
Decentralized Online Scheduling of Malleable NP-hard Jobs
Sanders, P.; Schreiber, D.
2022. Euro-Par 2022 : Parallel Processing. Hrsg.: J. Cano, 119–135, Springer International Publishing. doi:10.1007/978-3-031-12597-3_8
Sanders, P.; Schreiber, D.
2022. Euro-Par 2022 : Parallel Processing. Hrsg.: J. Cano, 119–135, Springer International Publishing. doi:10.1007/978-3-031-12597-3_8
Lilotane : A Lifted SAT-based Approach to Hierarchical Planning
Schreiber, D.
2021. Journal of artificial intelligence research, 70, 1117–1181. doi:10.1613/jair.1.12520
Schreiber, D.
2021. Journal of artificial intelligence research, 70, 1117–1181. doi:10.1613/jair.1.12520
Scalable SAT Solving in the Cloud
Schreiber, D.; Sanders, P.
2021. Theory and Applications of Satisfiability Testing – SAT 2021. Ed.: C.-M. Li, 518–534, Springer. doi:10.1007/978-3-030-80223-3_35
Schreiber, D.; Sanders, P.
2021. Theory and Applications of Satisfiability Testing – SAT 2021. Ed.: C.-M. Li, 518–534, Springer. doi:10.1007/978-3-030-80223-3_35
Finding Optimal Longest Paths by Dynamic Programming in Parallel
Fieger, K.; Balyo, T.; Schulz, C.; Schreiber, D.
2019. Proceedings of the 12th Annual Symposium on Combinatorial Search (SoCs 2019), Napa, CA, July 16-17, 2019, 61–69, AAAI Press
Fieger, K.; Balyo, T.; Schulz, C.; Schreiber, D.
2019. Proceedings of the 12th Annual Symposium on Combinatorial Search (SoCs 2019), Napa, CA, July 16-17, 2019, 61–69, AAAI Press
PASAR - Planning as Satisfiability with Abstraction Refinement
Froleyks, N.; Balyo, T.; Schreiber, D.
2019. Proceedings of the 12th Annual Symposium on Combinatorial Search (SoCs 2019), Napa, CA, July 16-17, 2019, 70–78, AAAI Press
Froleyks, N.; Balyo, T.; Schreiber, D.
2019. Proceedings of the 12th Annual Symposium on Combinatorial Search (SoCs 2019), Napa, CA, July 16-17, 2019, 70–78, AAAI Press
Tree-REX: SAT-based Tree Exploration for Efficient and High-Quality HTN Planning
Schreiber, D.; Pellier, D.; Fiorino, H.; Balyo, T.
2019. Proceedings of the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), Berkeley, CA, July 11-15, 2019, Ed.: J. Benton, 382–390, AAAI Press
Schreiber, D.; Pellier, D.; Fiorino, H.; Balyo, T.
2019. Proceedings of the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), Berkeley, CA, July 11-15, 2019, Ed.: J. Benton, 382–390, AAAI Press
Efficient SAT Encodings for Hierarchical Planning
Schreiber, D.; Pellier, D.; Fiorino, H.; Balyo, T.
2019. Proceedings of the 11th International Conference on Agents and Artificial Intelligence (ICAART 2019), Prague, CZ, February 19-21, 2019. Ed.: J. van den Herik. Vol. 2, 531–538, SciTePress. doi:10.5220/0007343305310538
Schreiber, D.; Pellier, D.; Fiorino, H.; Balyo, T.
2019. Proceedings of the 11th International Conference on Agents and Artificial Intelligence (ICAART 2019), Prague, CZ, February 19-21, 2019. Ed.: J. van den Herik. Vol. 2, 531–538, SciTePress. doi:10.5220/0007343305310538
Hierarchical Task Network Planning Using SAT Techniques. master’s thesis
Schreiber, D. P.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000104165
Schreiber, D. P.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000104165
| Title | Author(s) | Source | Date |
|---|---|---|---|
| Engineering HordeSat Towards Malleability: mallob-mono in the SAT 2020 Cloud Track | Dominik Schreiber |
SAT Competition 2020, Cloud Track |
2020 |
| Lifted Logic for Task Networks: TOHTN Planner Lilotane in the IPC 2020 | Dominik Schreiber |
Proceedings of 10th International Planning Competition: Planner and Domain Abstracts |
2021 |
| Mallob in the SAT Competition 2021 | Dominik Schreiber |
SAT Competition 2021, Cloud & Parallel Track |
2021 |
| Mallob in the SAT Competition 2022 | Dominik Schreiber |
SAT Competition 2022, Cloud & Parallel Track |
2022 |
| The HTN Domain "Factories" | Malte Sönnichsen, Dominik Schreiber |
Proceedings of 10th International Planning Competition: Planner and Domain Abstracts |
2021 |
| PASAR Entering the Sparkle Planning Challenge 2019 | Nils Froleyks, Tomas Balyo, Dominik Schreiber |
Technical Report, Sparkle Planning Challenge 2019 |
July 2019 |
| Aquaplanning: An Educational Framework for Automated Planning | Tomas Balyo, Dominik Schreiber, Patrick Hegemann, Jeremias Trautmann |
Technical Report, Sparkle Planning Challenge 2019 |
July 2019 |
| Title | Location | Date |
|---|---|---|
| Decentralized Online Scheduling of Malleable NP-hard Jobs | Glasgow, UK |
August 2022 |
| Scalable Satisfiability-driven Problem Solving | Dresden |
Juni 2022 |
| Lilotane: A Lifted SAT-based Approach to Hierarchical Planning | Montreal-themed Virtual Reality |
August 2021 |
| Scalable SAT Solving in the Cloud | Barcelona, ES |
July 2021 |
| Finding Optimal Longest Paths by Dynamic Programming in Parallel | Napa, CA, USA |
July 2019 |
| Tree-REX: SAT-based Tree Exploration for Efficient and High-Quality HTN Planning | Berkeley, CA, USA |
July 2019 |
| Efficient SAT Encodings for Hierarchical Planning | Prague, CZ |
February 2019 |
| Title | Type | Semester |
|---|---|---|
| Parallele Algorithmen | Vorlesung (V) | WS 18/19 |
| Automated Planning and Scheduling | WS 18/19 |
| Title | Subject | Supervisor |
|---|---|---|
| Scalable Resolution of NP-hard Problems | Parallel and distributed algorithms, SAT Solving, automated planning |
| Title | Subject | Supervisor | Student |
|---|---|---|---|
| Asynchronous Clause Exchange for Malleable SAT Solving | SAT Solving, Distributed Algorithms | Dominik Schreiber, Markus Iser |
Malte Sönnichsen |
| Engineering Optimal Solvers for Rubik's Cubes | Combinatorial search | Peter Sanders, Dominik Schreiber |
Tan Grumser |
| K-Means in a Malleable Distributed Environment | Distributed Algorithms | Dominik Schreiber |
Michael Dörr |
| Cube&Conquer-inspired Malleable Distributed SAT Solving | Distributed Algorithms, SAT Solving | Peter Sanders, Dominik Schreiber |
Maximilian Schick |
| Pruning Techniques for Lifted SAT Based Hierarchical Planning | Automated planning | Peter Sanders, Dominik Schreiber |
Nikolai Schnell |
| Partially Instantiated Representations for Automated Planning | Automated Planning, SAT Solving, Parallel Algorithms | Dominik Schreiber |
Marvin Williams |
| PASAR – Planning as Satisfiability with Abstraction Refinement | Automated Planning, SAT Solving, Heuristic Search | Tomáš Balyo, Dominik Schreiber |
Nils Froleyks |
| Cube&Conquer-inspired Techniques for Parallel Automated Planning | Automated Planning, Parallel Algorithms | Tomáš Balyo, Dominik Schreiber |
Jean-Pierre von der Heydt |
| Compression Techniques for SAT Formula Descriptions | SAT Solving, Compression | Jens Manig |