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L. Burchard, K. G. Hustad, J. Langguth and X. Cai

Enabling unstructured-mesh computation on massively tiled AI processors: An example of accelerating in silico cardiac simulation

Frontiers in Physics 11 (2023).
Journal Article
2023
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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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2014

Proceedings, refereed

J. Langguth and X. Cai

Heterogeneous CPU-GPU Computing for the Finite Volume Method on 3D Unstructured Meshes

In 20th International Conference on Parallel and Distributed Systems (ICPADS 2014). IEEE, 2014.
Status: Published
2013

Journal articles

K. Kaya, J. Langguth, F. Manne and B. Uçar

Push-relabel based algorithms for the maximum transversal problem

Computers & Operations Research 40 (2013): 1266-1275.
Status: Published

Proceedings, refereed

J. Langguth, N. Wu, J. Chai and X. Cai

On the GPU Performance of Cell-Centered Finite Volume Method Over Unstructured Tetrahedral Meshes

In Proceedings of the 3rd Workshop on Irregular Applications: Architectures and Algorithms. New York: ACM, 2013.
Status: Published