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K. Langedal, J. Langguth, F. Manne and D. T. Schroeder

Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks

In 20th International Symposium on Experimental Algorithms (SEA 2022). Vol. 233. Dagstuhl, Germany: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022.
Proceedings, refereed
2022
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A. Huber, D. T. Schroeder, K. Pogorelov, C. Griwodz and J. Langguth

A Streaming System for Large-scale Temporal Graph Mining of Reddit Data

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 2022.
Proceedings, refereed
2022
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H. Straume, F. Asche, A. Oglend, E. B. Abrahamsen, A. M. Birkenbach, J. Langguth, G. Lanquepin and K. H. Roll

Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis

Aquaculture 561 (2022): 738678.
Journal Article
2022
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J. Langguth, P. Filkukova, S. Brenner, D. T. Schroeder and K. Pogorelov

COVID-19 and 5G conspiracy theories: Long term observation of a digital wildfire

International Journal of Data Science and Analytics (2022).
Journal Article
2022
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30 March 2023

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2022

Journal articles

J. Langguth, P. Filkukova, S. Brenner, D. T. Schroeder and K. Pogorelov

COVID-19 and 5G conspiracy theories: Long term observation of a digital wildfire

International Journal of Data Science and Analytics (2022).
Status: Published
H. Straume, F. Asche, A. Oglend, E. B. Abrahamsen, A. M. Birkenbach, J. Langguth, G. Lanquepin and K. H. Roll

Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis

Aquaculture 561 (2022): 738678.
Status: Published

Proceedings, refereed

A. Huber, D. T. Schroeder, K. Pogorelov, C. Griwodz and J. Langguth

A Streaming System for Large-scale Temporal Graph Mining of Reddit Data

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 2022.
Status: Published
K. Langedal, J. Langguth, F. Manne and D. T. Schroeder

Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks

In 20th International Symposium on Experimental Algorithms (SEA 2022). Vol. 233. Dagstuhl, Germany: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022.
Status: Published

Talks, invited

J. Langguth and L. Burchard

ML Accelerator Hardware: A Model for Parallel Sparse Computations?

In Siam ACDA, Aussois, France. Aussois: SIAM, 2022.
Status: Published
J. Langguth and L. Burchard

ML Accelerator Hardware: A Model for Parallel Sparse Computations?

In University of Vienna, Austria, 2022.
Status: Published
J. Langguth and K. Langedal

Efficient Minimum Weight Vertex Cover Heuristics using Graph Neural Networks

In University of Vienna, Austria, 2022.
Status: Published
2018

Proceedings, refereed

N. Altanaite and J. Langguth

GPU-based Acceleration of Detailed Tissue-Scale Cardiac Simulations

In Proceedings of the 11th Workshop on General Purpose GPUs. New York, NY, USA: ACM, 2018.
Status: Published
J. Langguth, M. Sourouri and X. Cai

Memory Bandwidth Contention: Communication vs Computation Tradeoffs in Supercomputers with Multicore Architectures

In International Conference on Parallel and Distributed Systems (ICPADS). Singapore: ACM/IEEE, 2018.
Status: Published

Talks, keynote

J. Langguth

Heterogeneous HPC Computations in Cardiac Electrophysiology

In 19th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2018), Vancouver, Canada, 2018.
Status: Published