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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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2020

Talks, invited

J. Langguth

Fake News, Networks, and Natural Language Processing Tools

In Oslo (virtual), 2020.
Status: Published

Talks, contributed

P. Filkukova, P. Ayton and J. Langguth

Fake news recognition in young and older adults

In 62nd Conference of Experimental Psychologists (TeaP), Jena, Germany, 2020.
Status: Accepted
P. Filkukova, P. Ayton and J. Langguth

Factors associated with trust in fake news among older adults

In 19th General Meeting of the European Association of Social Psychology, Kraków, Poland, 2020.
Status: Accepted
2019

Journal articles

J. Lagravière, J. Langguth, M. Prugger, L. Einkemmer, P. H. Ha and X. Cai

Performance optimization and modeling of fine-grained irregular communication in UPC

Scientific Programming 2019 (2019): Article ID 6825728.
Status: Published

Proceedings, refereed

K. Ahmad, K. Pogorelov, M. Ullah, M. Riegler, N. Conci, J. Langguth and A. Al-Fuqaha

Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences

In Multimediaeval Benchmark 2019. CEUR Workshop Proceedings, 2019.
Status: Published
C. Jarvis, G. T. Lines, J. Langguth, K. Nakajima and X. Cai

Combining algorithmic rethinking and AVX-512 intrinsics for efficient simulation of subcellular calcium signaling

In International Conference on Computational Science (ICCS 2019). Springer, 2019.
Status: Published
J. Langguth, H. Arevalo and X. Cai

Towards Detailed Real-Time Simulations of Cardiac Arrhythmia

In Computing in Cardiology. Vol. 46. IEEE, 2019.
Status: Published
D. T. Schroeder, K. Pogorelov and J. Langguth

FACT: a Framework for Analysis and Capture of Twitter Graphs

In The Sixth IEEE International Conference on Social Networks Analysis, Management and Security (SNAMS-2019) . IEEE, 2019.
Status: Published

Talks, keynote

J. Langguth

PGAS for graph analytics: can one sided communications break the scalability barrier ?

In EFFECT workshop, Tromsø, Norway, 2019.
Status: Published

Posters

J. Langguth, H. Arevalo, K. G. Hustad and X. Cai

Towards Detailed Real-Time Simulations of Cardiac Arrhythmia

International Conference in Computing in Cardiology, Singapore, 2019.
Status: Published