Johannes Langguth
Senior Research Scientist
- Department
- High Performance Computing
- Organisation
- Simula Research Laboratory

- langguth@simula.no
Publications
2023
J. D. Trotter, S. Ekmekçibaşı, J. Langguth, T. Torun, E. Düzakın, A. Ilic and D. Unat
Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs
SC '23: International Conference for High Performance Computing, Networking, Storage and Analysis
Journal Articles
J. D. Trotter, J. Langguth and X. Cai
Targeting performance and user-friendliness: GPU-accelerated finite element computation with automated code generation in FEniCS
Parallel Computing
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
Technical reports
A. Arouna, I. Livadariu and J. Langguth
Mapping Twitter Activity in the 2019 Ukrainian Political Landscape
2022
Journal Articles
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
D. T. Schroeder, J. Langguth, L. Burchard, K. Pogorelov and P. G. Lind
The connectivity network underlying the German’s Twittersphere: a testbed for investigating information spreading phenomena
Scientific Reports
J. Langguth, P. Filkukova, S. Brenner, D. T. Schroeder and K. Pogorelov
COVID-19 and 5G conspiracy theories: Long term observation of a digital wildfire
International Journal of Data Science and Analytics
Proceedings, refereed
A. Huber, D. T. Schroeder, K. Pogorelov, C. Griwodz and J. Langguth
A Streaming System for Large-scale Temporal Graph Mining of Reddit Data
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
J. Moe, K. Pogorelov, D. T. Schroeder and J. Langguth
Implementing Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
K. Langedal, J. Langguth, F. Manne and D. T. Schroeder
Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks
20th International Symposium on Experimental Algorithms (SEA 2022)
Talks, invited
J. Langguth and L. Burchard
ML Accelerator Hardware: A Model for Parallel Sparse Computations?
Siam ACDA, Aussois, France
J. Langguth and L. Burchard
ML Accelerator Hardware: A Model for Parallel Sparse Computations?
University of Vienna, Austria
J. Langguth and K. Langedal
Efficient Minimum Weight Vertex Cover Heuristics using Graph Neural Networks
University of Vienna, Austria
2021
Journal Articles
P. Filkukova and J. Langguth
An alternative correct answer to the Cognitive Reflection Test
Frontiers in Psychology
P. Filkukova, P. Ayton, K. Rand and J. Langguth
What should I trust? Individual differences in attitudes to conflicting information and misinformation on COVID-19
Frontiers in Psychology
P. Filkukova and J. Langguth
Blinded by emotions: The association between emotional reactivity and trust in fictitious news stories on crime
Studia Psychologica: International Journal for Research and Theory in Psychological Sciences
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
Posters
J. D. Trotter, J. Langguth and X. Cai
Automated Code Generation for GPU-Based Finite Element Computations in FEniCS
Talks, contributed
J. Langguth, I. Panagiotas and B. Uçar
Shared-Memory Implementation of the Karp- Sipser Kernelization Process
SIAM ACDA, Richland (virtual)
P. Filkukova, P. Ayton and J. Langguth
Motivated reasoning in the evaluation of news quality
32nd International Congress of Psychology, Praha, Czech Republic
P. Filkukova, P. Ayton and J. Langguth
Sociodemographic attributes, media consumption and susceptibility to fake news
6th World Conference on Media and Mass Communication, Cagliari, Italy
P. Filkukova and J. Langguth
How adolescents and senior citizens evaluate fake news
8th biennial European Communication Conference, Braga, Portugal
J. Langguth, P. Filkukova, D. T. Schroeder and K. Pogorelov
Will technical means help in preventing digital wildfires?
6th World Conference on Media and Mass Communication, Cagliari, Italy
Proceedings, refereed
J. Langguth, I. Panagiotas and B. Uçar
Shared-memory Implementation of the Karp-Sipser Kernelization Process
28th edition of the IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2021)
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
50th International Conference on Parallel Processing Workshop
L. Burchard, X. Cai and J. Langguth
iPUG for multiple Graphcore IPUs: Optimizing performance and scalability of parallel breadth-first search
28th IEEE International Conference on High Performance Computing, Data, & Analytics (HiPC)
J. Langguth, A. Tumanis and A. Azad
Incremental Clustering Algorithms for Massive Dynamic Graphs
International Conference on Data Mining Workshops (ICDMW)
K. Pogorelov, D. T. Schroeder, P. Filkukova, S. Brenner and J. Langguth
WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets
Proceedings of the 2021 Workshop on Open Challenges in Online Social Networks (OASIS '21)
L. Burchard, J. Moe, D. T. Schroeder, K. Pogorelov and J. Langguth
iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs
High Performance Computing. ISC High Performance 2021
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
Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021)
Talks, keynote
D. T. Schroeder
Explaining News Spreading Phenomena in Social Networks
Händlerlogo BI Norwegian Business School
Talks, invited
D. T. Schroeder and J. Langguth
Spreading Online Misinformation
Data-SKUP 2021
2020
Journal Articles
P. Filkukova, P. Ayton, K. Rand-Hendriksen, A. Halberg, J. Lagravière and J. Langguth
Truth is in the eye of the beholder: Individual differences in the evaluation of fake and real news
Applied Cognitive Psychology
J. D. Trotter, J. Langguth and X. Cai
Cache simulation for irregular memory traffic on multi-core CPUs: Case study on performance models for sparse matrix–vector multiplication
Journal of Parallel and Distributed Computing
Posters
K. G. Hustad, X. Cai, J. Langguth and H. Arevalo
Efficient simulations of patient-specific electrical heart activity on the DGX-2
J. Langguth, D. T. Schroeder, K. Pogorelov and P. Filkukova
Graph Structure Based Monitoring of Digital Wildfires
J. Langguth, N. Gaur, H. Arevalo, C. Jarvis, N. Altanaite, Q. Lan and X. Cai
Towards detailed Organ-Scale Simulations in Cardiac Electrophysiology
D. T. Schroeder, P. Lind, K. Pogorelov and J. Langguth
A Framework for Interaction-based Propagation Analysis in Online Social Networks
Talks, contributed
P. Filkukova, P. Ayton and J. Langguth
Fake news recognition in young and older adults
62nd Conference of Experimental Psychologists (TeaP), Jena, Germany
P. Filkukova, P. Ayton and J. Langguth
Factors associated with trust in fake news among older adults
19th General Meeting of the European Association of Social Psychology, Kraków, Poland
Proceedings, refereed
K. Kaya, J. Langguth, I. Panagiotas and B. Uçar
Karp-Sipser based Kernels for Bipartite Graph Matching
Algorithm Engineering and Experiment (ALENEX)
K. Pogorelov, D. T. Schroeder, P. Filkukova and J. Langguth
A System for High Performance Mining on GDELT Data
2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
D. T. Schroeder, K. Pogorelov and J. Langguth
Evaluating Standard Classifiers for Detecting COVID-19 related Misinformation
MediaEval 2020
K. Pogorelov, D. T. Schroeder, L. Burchard, J. Moe, S. Brenner, P. Filkukova and J. Langguth
FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020
Media Eval Challange 2020
L. Burchard, D. T. Schroeder, S. Becker and J. Langguth
Resource Efficient Algorithms for Message Sampling in Online Social Networks
The Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS-2020)
L. Burchard, D. T. Schroeder, K. Pogorelov, S. Becker, E. Dietrich, P. Filkukova and J. Langguth
A Scalable System for Bundling Online Social Network Mining Research
2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)
D. T. Schroeder, P. Lind, K. Pogorelov and J. Langguth
A Framework for Interaction-based Propagation Analysis in Online Social Networks
Complex Networks
Talks, invited
J. Langguth
Fake News, Networks, and Natural Language Processing Tools
Oslo (virtual)
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
Posters
J. Langguth, H. Arevalo, K. G. Hustad and X. Cai
Towards Detailed Real-Time Simulations of Cardiac Arrhythmia
Talks, contributed
P. Filkukova, P. Ayton, S. Sloman and J. Langguth
When sharing is not caring: Individual differences in the evaluation of news quality
4th International Conference on Communication & Media Studies, Bonn, Germany
J. Langguth and P. Filkukova
Don't Trust Your Eyes: Manipulation of Visual Media in the Age of Deepfakes
4th International Conference on Communication & Media Studies, Bonn, Germany
J. D. Trotter, X. Cai, S. W. Funke and J. Langguth
Compiling finite element variational forms for GPU-based assembly
FEniCS‘19, Washington DC, USA
Proceedings, refereed
D. T. Schroeder, K. Pogorelov and J. Langguth
FACT: a Framework for Analysis and Capture of Twitter Graphs
The Sixth IEEE International Conference on Social Networks Analysis, Management and Security (SNAMS-2019)
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
International Conference on Computational Science (ICCS 2019)
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
Multimediaeval Benchmark 2019
J. Langguth, H. Arevalo and X. Cai
Towards Detailed Real-Time Simulations of Cardiac Arrhythmia
Computing in Cardiology
Talks, keynote
J. Langguth
PGAS for graph analytics: can one sided communications break the scalability barrier ?
EFFECT workshop, Tromsø, Norway
Talks, invited
J. Langguth
PGAS for graph analytics: can one sided communications break the scalability barrier ?
Computing Frontiers, Alghero, Italy
J. Langguth
Approximate weight perfect matchings for pivoting in parallel sparse linear solvers
International Congress on Industrial and Applied Mathematics (ICIAM), Valencia, Spain
J. Langguth
Towards real time simulations for in silico arrhythmia risk prediction
Annual Meeting of the Scandinavian Physiological Society, Cardiac Physiology Special Interest Group pre-meeting, Reykjavik, Iceland
2018
Journal Articles
A. Azad, A. Buluc, X. Li, X. Wang and J. Langguth
A Distributed-Memory Approximation Algorithm for Maximum Weight Perfect Bipartite Matching
SIAM Journal on Scientific Computing
Posters
J. Langguth, H. Arevalo, C. Jarvis and X. Cai
Towards Detailed Organ-Scale Simulations in Cardiac Electrophysiology
J. D. Trotter
Quantifying data traffic of sparse matrix-vector multiplication in a multi-level memory hierarchy
Talks, contributed
J. Langguth, A. Azad, A. Buluc, X. Li and X. Wang
A distributed - memory parallel approximation of maximum weight perfect bipartite matching
Sparse Days 2018, Toulouse, France
Proceedings, refereed
N. Altanaite and J. Langguth
GPU-based Acceleration of Detailed Tissue-Scale Cardiac Simulations
Proceedings of the 11th Workshop on General Purpose GPUs
J. Langguth, M. Sourouri and X. Cai
Memory Bandwidth Contention: Communication vs Computation Tradeoffs in Supercomputers with Multicore Architectures
International Conference on Parallel and Distributed Systems (ICPADS)
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
Talks, keynote
J. Langguth
Heterogeneous HPC Computations in Cardiac Electrophysiology
19th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2018), Vancouver, Canada
Talks, invited
J. Langguth, A. Azad, A. Buluc, X. Li and X. Wang
A distributed - memory parallel approximation of maximum weight perfect bipartite matching
Pacific Northwest National Laboratory, Richland, WA, USA
2017
Talks, contributed
J. Langguth, X. Cai and J. Chai
Heterogeneous Manycore Simulations in Cardiac Electrophysiology
Tenth International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG-2017), Stockholm, Sweden
Proceedings, refereed
J. Langguth, C. Jarvis and X. Cai
Porting Tissue-Scale Cardiac Simulations to the Knights Landing Platform
International Conference on High Performance Computing
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
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'17)
Talks, keynote
X. Cai and J. Langguth
Accelerated high-performance computing for computational cardiac electrophysiology
The University of Tokyo, Tokyo, Japan
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
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
High Performance Computing & Simulation (2016) - International Workshop on Optimization of Energy Efficient HPC & Distributed Systems
J. Langguth, Q. Lan, N. Gaur, X. Cai and M. Wen
Enabling Tissue-Scale Cardiac Simulations Using Heterogeneous Computing on Tianhe-2
IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS)
Talks, invited
J. Langguth
Heterogeneous HPC solutions in cardiac electrophysiology
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
J. Langguth
Hierarchical partitioning of unstructured meshes in cardiac electrophysiology
Third Workshop on Programming Abstractions for Data Locality (PADAL'16), Kobe, Japan
2015
Journal Articles
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
J. Langguth, M. Sourouri, G. T. Lines, S. Baden and X. Cai
Scalable heterogeneous CPU-GPU computations for unstructured tetrahedral meshes
IEEE Micro
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
Proceedings, refereed
M. Naim, F. Manne, M. Halappanavar, A. Tumeo and J. Langguth
Optimizing Approximate Weighted Matching on Nvidia Kepler K40
IEEE International Conference on High Performance Computing (HiPC)
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
The 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2015)
M. Sourouri, J. Langguth, F. Spiga, S. Baden and X. Cai
CPU+GPU Programming of Stencil Computations for Resource-Efficient Use of GPU Clusters
IEEE 18th International Conference on Computational Science and Engineering
2014
Journal Articles
J. Langguth, A. Azad, M. Halappanavar and F. Manne
On Parallel Push-Relabel Based Algorithms for Bipartite Maximum Matching
Parallel Computing
Proceedings, refereed
J. Langguth and X. Cai
Heterogeneous CPU-GPU Computing for the Finite Volume Method on 3D Unstructured Meshes
20th International Conference on Parallel and Distributed Systems (ICPADS 2014)
2013
Journal Articles
K. Kaya, J. Langguth, F. Manne and B. Uçar
Push-relabel based algorithms for the maximum transversal problem
Computers & Operations Research
Proceedings, refereed
J. Langguth, N. Wu, J. Chai and X. Cai
On the GPU Performance of Cell-Centered Finite Volume Method Over Unstructured Tetrahedral Meshes
Proceedings of the 3rd Workshop on Irregular Applications: Architectures and Algorithms