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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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2016

Proceedings, refereed

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

Enabling Tissue-Scale Cardiac Simulations Using Heterogeneous Computing on Tianhe-2

In IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS). ACM/IEEE, 2016.
Status: Published

Talks, invited

J. Langguth

Heterogeneous HPC solutions in cardiac electrophysiology

In Lawrence Berkeley National Laboratory, Berkeley, CA, USA, 2016.
Status: Published
J. Langguth

Hierarchical partitioning of unstructured meshes in cardiac electrophysiology

In Third Workshop on Programming Abstractions for Data Locality (PADAL'16), Kobe, Japan, 2016.
Status: Published
2015

Journal articles

M. Halappanavar, A. Pothen, A. Azad, F. Manne, J. Langguth and A. M. Khan

Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures

IEEE Computer 48 (2015): 46-55.
Status: Published
J. Langguth, M. Sourouri, G. T. Lines, S. Baden and X. Cai

Scalable heterogeneous CPU-GPU computations for unstructured tetrahedral meshes

IEEE Micro 35, no. 4 (2015): 6-15.
Status: Published
J. Langguth, N. Wu, J. Chai and X. Cai

Parallel performance modeling of irregular applications in cell-centered finite volume methods over unstructured tetrahedral meshes

Journal of Parallel and Distributed Computing 76 (2015): 120-131.
Status: Published

Proceedings, refereed

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

Towards Detailed Tissue-Scale 3D Simulations of Electrical Activity and Calcium Handling in the Human Cardiac Ventricle

In The 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2015). Lecture Notes in Computer Science, Springer Verlag, 2015.
Status: Published
M. Naim, F. Manne, M. Halappanavar, A. Tumeo and J. Langguth

Optimizing Approximate Weighted Matching on Nvidia Kepler K40

In IEEE International Conference on High Performance Computing (HiPC), 2015.
Status: Published
M. Sourouri, J. Langguth, F. Spiga, S. Baden and X. Cai

CPU+GPU Programming of Stencil Computations for Resource-Efficient Use of GPU Clusters

In IEEE 18th International Conference on Computational Science and Engineering. IEEE Computer Society, 2015.
Status: Published
2014

Journal articles

J. Langguth, A. Azad, M. Halappanavar and F. Manne

On Parallel Push-Relabel Based Algorithms for Bipartite Maximum Matching

Parallel Computing 40, no. 7 (2014): 289-308.
Status: Published