Sebastian Lamm

According to our database, Sebastian Lamm authored at least 21 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Finding Near-Optimal Weight Independent Sets at Scale.

Ernestine Großmann, Sebastian Lamm, Christian Schulz, Darren Strash

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

Scalable Graph Algorithms using Practically Efficient Data Reductions.

Sebastian Lamm

PhD thesis, 2022

Communication-efficient Massively Distributed Connected Components.

Sebastian Lamm, Peter Sanders

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Recent Advances in Practical Data Reduction.

Faisal N. Abu-Khzam, Sebastian Lamm, Matthias Mnich, Alexander Noe, Christian Schulz, Darren Strash

Proceedings of the Algorithms for Big Data - DFG Priority Program 1736, 2022

Recent Advances in Scalable Network Generation1.

Manuel Penschuck, Ulrik Brandes, Michael Hamann, Sebastian Lamm, Ulrich Meyer, Ilya Safro, Peter Sanders, Christian Schulz

Proceedings of the Massive Graph Analytics, 2022

2021

Targeted Branching for the Maximum Independent Set Problem.

Demian Hespe, Sebastian Lamm, Christian Schorr

Proceedings of the 19th International Symposium on Experimental Algorithms, 2021

Boosting Data Reduction for the Maximum Weight Independent Set Problem Using Increasing Transformations.

Alexander Gellner, Sebastian Lamm, Christian Schulz, Darren Strash, Bogdán Zaválnij

Proceedings of the Symposium on Algorithm Engineering and Experiments, 2021

2020

Recent Advances in Practical Data Reduction.

Faisal N. Abu-Khzam, Sebastian Lamm, Matthias Mnich, Alexander Noe, Christian Schulz, Darren Strash

CoRR, 2020

Recent Advances in Scalable Network Generation.

Manuel Penschuck, Ulrik Brandes, Michael Hamann, Sebastian Lamm, Ulrich Meyer, Ilya Safro, Peter Sanders, Christian Schulz

CoRR, 2020

WeGotYouCovered: The Winning Solver from the PACE 2019 Challenge, Vertex Cover Track.

Demian Hespe, Sebastian Lamm, Christian Schulz, Darren Strash

Proceedings of the SIAM Workshop on Combinatorial Scientific Computing, 2020

Engineering Kernelization for Maximum Cut.

Damir Ferizovic, Demian Hespe, Sebastian Lamm, Matthias Mnich, Christian Schulz, Darren Strash

Proceedings of the Symposium on Algorithm Engineering and Experiments, 2020

2019

Communication-free massively distributed graph generation.

Daniel Funke, Sebastian Lamm, Ulrich Meyer, Manuel Penschuck, Peter Sanders, Christian Schulz, Darren Strash, Moritz von Looz

J. Parallel Distributed Comput., 2019

WeGotYouCovered: The Winning Solver from the PACE 2019 Implementation Challenge, Vertex Cover Track.

Demian Hespe, Sebastian Lamm, Christian Schulz, Darren Strash

CoRR, 2019

Exactly Solving the Maximum Weight Independent Set Problem on Large Real-World Graphs.

Sebastian Lamm, Christian Schulz, Darren Strash, Robert Williger, Huashuo Zhang

Proceedings of the Twenty-First Workshop on Algorithm Engineering and Experiments, 2019

2018

Efficient Parallel Random Sampling - Vectorized, Cache-Efficient, and Online.

Peter Sanders, Sebastian Lamm, Lorenz Hübschle-Schneider, Emanuel Schrade, Carsten Dachsbacher

ACM Trans. Math. Softw., 2018

Communication-Free Massively Distributed Graph Generation.

Daniel Funke, Sebastian Lamm, Peter Sanders, Christian Schulz, Darren Strash, Moritz von Looz

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017

Finding near-optimal independent sets at scale.

Sebastian Lamm, Peter Sanders, Christian Schulz, Darren Strash, Renato F. Werneck

J. Heuristics, 2017

2016

Efficient Random Sampling - Parallel, Vectorized, Cache-Efficient, and Online.

Peter Sanders, Sebastian Lamm, Lorenz Hübschle-Schneider, Emanuel Schrade, Carsten Dachsbacher

CoRR, 2016

Accelerating Local Search for the Maximum Independent Set Problem.

Jakob Dahlum, Sebastian Lamm, Peter Sanders, Christian Schulz, Darren Strash, Renato F. Werneck

Proceedings of the Experimental Algorithms - 15th International Symposium, 2016

Thrill: High-performance algorithmic distributed batch data processing with C++.

Timo Bingmann, Michael Axtmann, Emanuel Jöbstl, Sebastian Lamm, Huyen Chau Nguyen, Alexander Noe, Sebastian Schlag, Matthias Stumpp, Tobias Sturm, Peter Sanders

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Graph Partitioning for Independent Sets.

Sebastian Lamm, Peter Sanders, Christian Schulz

Proceedings of the Experimental Algorithms - 14th International Symposium, 2015