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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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J. Moe, K. Pogorelov, D. T. Schroeder and J. Langguth

Implementing Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 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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2017

Proceedings, refereed

M. Sourouri, E. B. Raknes, N. Reissmann, J. Langguth, D. Hackenberg, R. Schöne and P. G. Kjeldsberg

Towards fine-grained dynamic tuning of HPC applications on modern multi-core architectures

In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'17). New York, NY, USA: ACM Press, 2017.
Status: Published

Talks, keynote

X. Cai and J. Langguth

Accelerated high-performance computing for computational cardiac electrophysiology

In The University of Tokyo, Tokyo, Japan, 2017.
Status: Published

Talks, contributed

J. Langguth, X. Cai and J. Chai

Heterogeneous Manycore Simulations in Cardiac Electrophysiology

In Tenth International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG-2017), Stockholm, Sweden, 2017.
Status: Published