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Most recent publications

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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2018

Posters

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
2017

Proceedings, refereed

J. Langguth, C. Jarvis and X. Cai

Porting Tissue-Scale Cardiac Simulations to the Knights Landing Platform

In International Conference on High Performance Computing. Lecture Notes in Computer Science, Springer, 2017.
Status: Published
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
2016

Journal articles

J. Langguth, Q. Lan, N. Gaur and X. Cai

Accelerating Detailed Tissue-Scale 3D Cardiac Simulations Using Heterogeneous CPU-Xeon Phi Computing

International Journal of Parallel Programming (2016): 1-23.
Status: Published

Proceedings, refereed

J. Lagravière, J. Langguth, M. Sourouri and X. Cai

On the Performance and Energy Efficiency of the PGAS Programming Model on Multicore Architectures

In High Performance Computing & Simulation (2016) - International Workshop on Optimization of Energy Efficient HPC & Distributed Systems. ACM IEEE, 2016.
Status: Published