Johannes Langguth's picture

Johannes Langguth

Associate Professor
  • E-mailjohannes.langguth@uib.no
  • Visitor Address
    HIB - Thormøhlens gate 55
    5006 Bergen
  • Postal Address
    Postboks 7803
    5020 Bergen
Academic article
  • Show author(s) (2023). Targeting performance and user-friendliness: GPU-accelerated finite element computation with automated code generation in FEniCS. Parallel Computing. 12 pages.
  • Show author(s) (2023). Enabling unstructured-mesh computation on massively tiled AI processors: An example of accelerating in silico cardiac simulation. Frontiers in Physics.
  • Show author(s) (2023). COCO: an annotated Twitter dataset of COVID-19 conspiracy theories. Journal of Computational Social Science (JCSS). 42 pages.
  • Show author(s) (2022). The connectivity network underlying the German’s Twittersphere: a testbed for investigating information spreading phenomena. Scientific Reports. 1-13.
  • Show author(s) (2022). Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis. Aquaculture. 9 pages.
  • Show author(s) (2022). Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks. Leibniz International Proceedings in Informatics. 1-17.
  • Show author(s) (2022). COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire. International Journal of Data Science and Analytics (JDSA). 18 pages.
  • Show author(s) (2021). What should I trust? Individual differences in attitudes to conflicting information and misinformation on COVID-19. Frontiers in Psychology. 12 pages.
  • Show author(s) (2021). WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets. Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART).
  • Show author(s) (2021). Blinded by emotions: The association between emotional reactivity and trust in fictitious news stories on crime. Studia psychologica (Bratislava). 404-416.
  • Show author(s) (2015). Heterogeneous CPU-GPU computing for the finite volume method on 3D unstructured meshes. Proceedings of the International Conference on Parallel and Distributed Systems. 191-199.
  • Show author(s) (2016). Implementing and optimizing a Sparse Matrix-Vector Multiplication with UPC. .
  • Show author(s) (2021). Connected k-Dominating Sets for Locating fast-charging stations.
Academic lecture
  • Show author(s) (2021). Will technical means help in preventing digital wildfires?
  • Show author(s) (2021). Sociodemographic attributes, media consumption and susceptibility to fake news.
  • Show author(s) (2021). Motivated reasoning in the evaluation of news quality.
  • Show author(s) (2021). How adolescents and senior citizens evaluate fake news.
  • Show author(s) (2017). Towards Fine-Grained Dynamic Tuning of HPC Applications on Modern Multi-Core Architectures.
Academic chapter/article/Conference paper
  • Show author(s) (2022). Incremental Clustering Algorithms for Massive Dynamic Graphs . 10 pages.
  • Show author(s) (2022). Implementing Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs. 10 pages.
  • Show author(s) (2022). A Streaming System for Large-scale Temporal Graph Mining of Reddit Data. 10 pages.
  • Show author(s) (2021). iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. 19 pages.
  • Show author(s) (2021). iPUG for Multiple Graphcore IPUs: Optimizing Performance and Scalability of Parallel Breadth-First Search. 10 pages.
  • Show author(s) (2021). WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets. 5 pages.
  • Show author(s) (2017). Towards Fine-Grained Dynamic Tuning of HPC Applications on Modern Multi-Core Architectures. 12 pages.
  • Show author(s) (2016). On the performance and energy efficiency of the PGAS programming model on multicore architectures. 8 pages.
  • Show author(s) (2015). Towards Detailed Tissue-Scale 3D Simulations of Electrical Activity and Calcium Handling in the Human Cardiac Ventricle. 14 pages.
  • Show author(s) (2015). Optimizing Approximate Weighted Matching on Nvidia Kepler K40. 10 pages.
  • Show author(s) (2015). CPU+GPU Programming of Stencil Computations for Resource-Efficient Use of GPU Clusters. 10 pages.

More information in national current research information system (CRIStin)