Johannes Langguth

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

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

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

A. Arouna, I. Livadariu and J. Langguth

Mapping Twitter Activity in the 2019 Ukrainian Political Landscape

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

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)

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. 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

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

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

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

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

J. Langguth, I. Panagiotas and B. Uçar

Shared-Memory Implementation of the Karp- Sipser Kernelization Process

SIAM ACDA, Richland (virtual)

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)

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)

D. T. Schroeder

Explaining News Spreading Phenomena in Social Networks

Händlerlogo BI Norwegian Business School

D. T. Schroeder and J. Langguth

Spreading Online Misinformation

Data-SKUP 2021

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

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

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

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

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)

K. Kaya, J. Langguth, I. Panagiotas and B. Uçar

Karp-Sipser based Kernels for Bipartite Graph Matching

Algorithm Engineering and Experiment (ALENEX)

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

J. Langguth

Fake News, Networks, and Natural Language Processing Tools

Oslo (virtual)

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

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

Towards Detailed Real-Time Simulations of Cardiac Arrhythmia

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

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

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

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)

J. Langguth

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

EFFECT workshop, Tromsø, Norway

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

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

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

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

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)

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

J. Langguth

Heterogeneous HPC Computations in Cardiac Electrophysiology

19th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2018), Vancouver, Canada

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

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

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)

X. Cai and J. Langguth

Accelerated high-performance computing for computational cardiac electrophysiology

The University of Tokyo, Tokyo, Japan

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

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)

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

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

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

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

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)

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

On Parallel Push-Relabel Based Algorithms for Bipartite Maximum Matching

Parallel Computing

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)

K. Kaya, J. Langguth, F. Manne and B. Uçar

Push-relabel based algorithms for the maximum transversal problem

Computers & Operations Research

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