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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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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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2021

Journal articles

P. Filkukova and J. Langguth

An alternative correct answer to the Cognitive Reflection Test

Frontiers in Psychology 12 (2021).
Status: Published
J. Langguth, K. Pogorelov, S. Brenner, P. Filkukova and D. T. Schroeder

Don't Trust Your Eyes: Image Manipulation in the Age of DeepFakes

Frontiers in Communication 6 (2021).
Status: Published

Proceedings, refereed

L. Burchard, X. Cai and J. Langguth

iPUG for multiple Graphcore IPUs: Optimizing performance and scalability of parallel breadth-first search

In 28th IEEE International Conference on High Performance Computing, Data, & Analytics (HiPC). Bangalore, India: IEEE, 2021.
Status: Published
L. Burchard, J. Moe, D. T. Schroeder, K. Pogorelov and J. Langguth

iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs

In High Performance Computing. ISC High Performance 2021. Vol. LNCS, volume 12728. Cham: Springer International Publishing, 2021.
Status: Published
S. Dhandhania, A. Deodhar, K. Pogorelov, S. Biswas and J. Langguth

Explaining the Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection

In 50th International Conference on Parallel Processing Workshop. Chicago, Illinois, USA: ACM, 2021.
Status: Published
J. Langguth, A. Tumanis and A. Azad

Incremental Clustering Algorithms for Massive Dynamic Graphs

In International Conference on Data Mining Workshops (ICDMW). Auckland, New Zealand : IEEE, 2021.
Status: Published
J. Langguth, I. Panagiotas and B. Uçar

Shared-memory Implementation of the Karp-Sipser Kernelization Process

In 28th edition of the IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2021). Bangalore, India: IEEE, 2021.
Status: Published
D. T. Schroeder, F. Schaal, P. Filkukova, K. Pogorelov and J. Langguth

WICO Graph: a Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets

In Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021). Vol. 2. SCITEPRESS, 2021.
Status: Published

Posters

J. D. Trotter, J. Langguth and X. Cai

Automated Code Generation for GPU-Based Finite Element Computations in FEniCS

SIAM Conference on Computational Science and Engineering (CSE21): SIAM, 2021.
Status: Published

Talks, invited

D. T. Schroeder and J. Langguth

Spreading Online Misinformation

In Data-SKUP 2021, 2021.
Status: Published