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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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2018

Proceedings, refereed

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

Posters

J. Langguth, H. Arevalo, C. Jarvis and X. Cai

Towards Detailed Organ-Scale Simulations in Cardiac Electrophysiology

International Symposium on Computational Science at Scale (CoSaS), Erlangen, Germany, 2018.
Status: Published
J. D. Trotter, J. Langguth and X. Cai

Quantifying data traffic of sparse matrix-vector multiplication in a multi-level memory hierarchy

London, UK, 2018.
Status: Published

Talks, invited

J. Langguth, A. Azad, A. Buluc, X. Li and X. Wang

A distributed - memory parallel approximation of maximum weight perfect bipartite matching

In Pacific Northwest National Laboratory, Richland, WA, USA, 2018.
Status: Published

Talks, contributed

J. Langguth, A. Azad, A. Buluc, X. Li and X. Wang

A distributed - memory parallel approximation of maximum weight perfect bipartite matching

In Sparse Days 2018, Toulouse, France, 2018.
Status: Published

Public outreach

X. Li, A. Azad, A. Buluc, P. Ghysels, J. Langguth and X. Wang

ExaGraph Collaboration with STRUMPACK/SuperLU: Factorization-Based Sparse Solvers and Preconditioners for Exascale

ECP Website: Exascale Computing Project (ECP), 2018.
Status: Published