Academic article

• Cheng Huang; Johannes Langguth; Xing Cai et al. (2026). Geld: Load-balanced D-Core Decomposition for Consumer GPUs. (external link)
• Kaspara Skovli Gåsvær; Pedro Lind; Johannes Langguth et al. (2026). The 5G COVID-19 Digital Wildfire: An evolving network of Twitter contacts to explore phase transition metaphors in viral misinformation. (external link)
• Zeyu Xue; Mei Wen; Jianchao Yang et al. (2025). SSpMM: Efficiently Scalable SpMM Kernels Across Multiple Generations of Tensor Cores. (external link)
• Bruce Mutsvairo; Kristin Skare Orgeret; Mirjam de Bruijn et al. (2025). The Messenger (not the Medium) Is the Message? Uncovering Journalists’ Perceptions of Digital Disinformation in Conflict Countries. (external link)
• Mirjam de Bruijn; Bruce Mutsvairo; Luca Bruls et al. (2025). “Aren’t we all journalists?” Citizen journalism, disinformation and the weaponization of social media in conflict torn Mali. (external link)
• Daniel Thilo Schroeder; Mirjam de Bruijn; Luca Bruls et al. (2023). Social media in the Global South: A Network Dataset of the Malian Twittersphere. (external link)
• Stefan Brenner; Daniel Thilo Schroeder; Johannes Langguth (2023). GECO: A Twitter Dataset of COVID-19 Misinformation and Conspiracy Theories Related to the Berlin Parliament and Washington Capitol Riots. (external link)
• James David Trotter; Johannes Langguth; Xing Cai (2023). Targeting performance and user-friendliness: GPU-accelerated finite element computation with automated code generation in FEniCS. (external link)
• Johannes Langguth; Daniel Thilo Schroeder; Petra Filkukova et al. (2023). COCO: an annotated Twitter dataset of COVID-19 conspiracy theories. (external link)
• Kaspara Skovli Gåsvær; Pedro Lind; Johannes Langguth et al. (2023). Harmful Conspiracies in Temporal Interaction Networks: Understanding the Dynamics of Digital Wildfires through Phase Transitions. (external link)
• Luk Bjarne Burchard; Kristian Gregorius Hustad; Johannes Langguth et al. (2023). Enabling unstructured-mesh computation on massively tiled AI processors: An example of accelerating in silico cardiac simulation. (external link)
• Daniel Thilo Schroeder,; Mirjam de Bruijn; Mulatu Alemayehu Moges et al. (2023). Social Media in the Global South: A Network Dataset of the Malian Twittersphere. (external link)
• Johannes Langguth; Petra Filkukova; Stefan Brenner et al. (2022). COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire. (external link)
• Daniel Thilo Schroeder; Johannes Langguth; Luk Bjarne Burchard et al. (2022). The connectivity network underlying the German’s Twittersphere: a testbed for investigating information spreading phenomena. (external link)
• Kenneth Langedal; Johannes Langguth; Fredrik Manne et al. (2022). Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks. (external link)
• Hans-Martin Straume; Frank Asche; Atle Oglend et al. (2022). Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis. (external link)
• Asep Maulana; Konstantin Pogorelov; Daniel Thilo Schroeder et al. (2022). Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022. (external link)
• Konstantin Pogorelov; Daniel Thilo Schroeder; Stefan Brenner et al. (2022). Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022. (external link)
• Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkukova et al. (2021). Wico text: a labeled dataset of conspiracy theory and 5g-corona misinformation tweets. (external link)
• Konstantin Pogorelov; Daniel Thilo Schroeder; Stefan Brenner et al. (2021). FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021. (external link)
• Daniel Thilo Schroeder; Ferdinand Schaal; Petra Filkukova et al. (2021). WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets. (external link)
• Petra Filkukova; Johannes Langguth (2021). An Alternative Correct Answer to the Cognitive Reflection Test. (external link)
• Petra Filkukova; Peter Ayton; Johannes Langguth (2021). What should I trust? Individual differences in attitudes to conflicting information and misinformation on COVID-19. (external link)
• Petra Filkukova; Johannes Langguth (2021). Blinded by emotions: The association between emotional reactivity and trust in fictitious news stories on crime. (external link)
• Daniel Thilo Schroeder; Ferdinand Schaal; Petra Filkukova et al. (2021). WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets.. (external link)
• Luk Bjarne Burchard; Johannes Moe; Daniel Thilo Schroeder et al. (2021). iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. (external link)
• Konstantin Pogorelov; Daniel Thilo Schroeder; Luk Bjarne Burchard et al. (2020). FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020. (external link)
• Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkukova et al. (2020). A System for High Performance Mining on GDELT Data. (external link)
• Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (2020). Evaluating Standard Classifiers for Detecting COVID-19 related Misinformation. (external link)
• James David Trotter; Johannes Langguth; Xing Cai (2020). Cache simulation for irregular memory traffic on multi-core CPUs: Case study on performance models for sparse matrix–vector multiplication. (external link)
• Jeremie Alexandre Emilien Lagraviere; Johannes Langguth; Martina Prugger et al. (2019). Performance optimization and modeling of fine-grained irregular communication in UPC. (external link)
• Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (2019). Fact: a framework for analysis and capture of twitter graphs. (external link)
• Johannes Langguth; Chad Jarvis; Xing Cai (2017). Porting tissue-scale cardiac simulations to the knights landing platform. (external link)
• Johannes Langguth; Qiang Lan; Namit Gaur et al. (2016). Accelerating Detailed Tissue-Scale 3D Cardiac Simulations Using Heterogeneous CPU-Xeon Phi Computing. (external link)
• Johannes Langguth; Nan Wu; Jun Chai et al. (2015). Parallel performance modeling of irregular applications in cell-centered finite volume methods over unstructured tetrahedral meshes. (external link)
• Johannes Langguth; Xing Cai (2015). Heterogeneous CPU-GPU computing for the finite volume method on 3D unstructured meshes. (external link)
• Johannes Langguth; Mohammed Sourouri; Glenn Terje Lines et al. (2015). Scalable heterogeneous CPU-GPU computations for unstructured tetrahedral meshes. (external link)
• Mahantesh Halappanavar; Alex Pothen; Ariful Azad et al. (2015). Codesign lessons learned from implementing graph matching on multithreaded architectures. (external link)
• Johannes Langguth; Ariful Azad; Mahantesh Halappanavar et al. (2014). On parallel push-relabel based algorithms for bipartite maximum matching. (external link)
• Kamer Kaya; Johannes Langguth; Fredrik Manne et al. (2013). Push-relabel based algorithms for the maximum transversal problem. (external link)
• Johannes Langguth; Mostofa Ali Md. Patwary; Fredrik Manne (2011). Parallel algorithms for bipartite matching problems on distributed memory computers. (external link)
• Johannes Langguth; Fredrik Manne; Peter Sanders (2010). Heuristic initialization for bipartite matching problems. (external link)
• Johannes Langguth; Ariful Azad; Youhan Fang et al. (2010). Identifying Rare Cell Populations in Comparative Flow Cytometry. (external link)

Academic book chapter

• Jakob Gerhardt; Johannes Langguth (2025). Solution of Backtracking Problems on Tile-Centric AI Accelerators. (external link)
• Rohullah Akbari; Daniel Thilo Schroeder; Petra Filkukova et al. (2025). Monitoring Digital Wildfires: a Large-Scale Dataset of COVID-19 Conspiracy Tweets Created via Fast NLP Inference using the Graphcore IPU. (external link)
• James David Trotter; Sinan Ekmekçibaşı; Doğan Sağbili et al. (2025). CPU- and GPU-initiated Communication Strategies for Conjugate Gradient Methods on Large GPU Clusters. (external link)
• Johannes Langguth; James David Trotter; Xing Cai (2025). Modelling Load Imbalance In Shared Memory Multicore Systems. (external link)
• Max Zhao; Luk Bjarne Burchard; Daniel Thilo Schroeder et al. (2024). iPuma: High-Performance Sequence Alignment on the Graphcore IPU. (external link)
• Konstantin Pogorelov; James David Trotter; Johannes Langguth (2024). Performance Prediction for Sparse Matrix Vector Multiplication Using Structure-Dependent Features. (external link)
• James David Trotter; Sinan Ekmekçibaşı; Johannes Langguth et al. (2023). Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs. (external link)
• Luk Bjarne Burchard; Max Zhao; Johannes Langguth et al. (2023). Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU. (external link)
• Johannes Langguth; Aigar Tumanis; Ariful Azad (2022). Incremental Clustering Algorithms for Massive Dynamic Graphs. (external link)
• Andreas Huber; Daniel Thilo Schröder; Konstantin Pogorelov et al. (2022). A Streaming System for Large-scale Temporal Graph Mining of Reddit Data. (external link)
• Johannes Moe; Konstantin Pogorelov; Daniel Thilo Schröder et al. (2022). Implementing Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs. (external link)
• Daniel Thilo Schroeder; Pedro Lind; Konstantin Pogorelov et al. (2021). A Framework for Interaction-based Propagation Analysis in Online Social Networks. (external link)
• Luk Burchard; Johannes Sellæg Moe; Daniel Thilo Schroeder et al. (2021). iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. (external link)
• Luk Burchard; Xing Cai; Johannes Langguth (2021). iPUG for Multiple Graphcore IPUs: Optimizing Performance and Scalability of Parallel Breadth-First Search. (external link)
• Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkukova et al. (2021). WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets.. (external link)
• Chad Jarvis; Glenn Terje Lines; Johannes Langguth et al. (2019). Combining algorithmic rethinking and AVX-512 intrinsics for efficient simulation of subcellular calcium signaling. (external link)
• Johannes Langguth; Xing Cai; Mohammed Sourouri (2018). Memory bandwidth contention: Communication vs computation Tradeoffs in supercomputers with multicore architectures. (external link)
• Neringa Altanaite; Johannes Langguth (2018). GPU-based Acceleration of Detailed Tissue-Scale Cardiac Simulations. (external link)
• Mohammed Sourouri; Espen Birger Raknes; Nico Reissmann et al. (2017). Towards Fine-Grained Dynamic Tuning of HPC Applications on Modern Multi-Core Architectures. (external link)
• Jeremie Alexandre Emilien Lagraviere; Johannes Langguth; Mohammed Sourouri et al. (2016). On the performance and energy efficiency of the PGAS programming model on multicore architectures. (external link)
• Johannes Langguth; Qiang Lan; Namit Gaur et al. (2016). Enabling tissue-scale cardiac simulations using heterogeneous computing on tianhe-2. (external link)
• Qiang Lan; Namit Gaur; Johannes Langguth et al. (2015). Towards Detailed Tissue-Scale 3D Simulations of Electrical Activity and Calcium Handling in the Human Cardiac Ventricle. (external link)
• Mohammed Sourouri; Johannes Langguth; Filippo Spiga et al. (2015). CPU+GPU Programming of Stencil Computations for Resource-Efficient Use of GPU Clusters. (external link)
• Md. Naim; Fredrik Manne; Mahantesh Halappanavar et al. (2015). Optimizing Approximate Weighted Matching on Nvidia Kepler K40. (external link)
• Johannes Langguth; Nan Wu; Jun Chai et al. (2013). On the GPU performance of cell-centered finite volume method over unstructured tetrahedral meshes. (external link)

Academic literature review

• Johannes Langguth; Konstantin Pogorelov; Stefan Brenner et al. (2021). Don't Trust Your Eyes: Image Manipulation in the Age of DeepFakes. (external link)

Blog post

• Xiaoye Li; Johannes Langguth (2018). ExaGraph Collaboration with STRUMPACK/SuperLU: Factorization-Based Sparse Solvers and Preconditioners for Exascale. (external link)

Book anthology

• Franka Bause; Johannes Langguth (2024). On the two sides of redundancy in graph neural networks. (external link)
• Alfred Arouna; Ioana Livadariu; Johannes Langguth (2024). Mapping Twitter Activity in the 2019 Ukrainian Political Landscape. (external link)
• Asep Maulana; Johannes Langguth (2023). Leveraging GNNs and node entropy for anomaly detection: Revealing misinformation spreader on twitter network. (external link)
• Luk Bjarne Burchard; Daniel Thilo Schroeder; Soeren Becker et al. (2020). Resource Efficient Algorithms for Message Sampling in Online Social Networks. (external link)

Conference abstract

• Petra Filkukova; Peter Ayton; Johannes Langguth (2023). Motivated reasoning in the evaluation of news quality. (external link)

Conference lecture

• George Karypis; Christian Schulz; Michael Fellows et al. (2024). Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331). (external link)
• Alfred Arouna; Ioana Livadariu; Johannes Langguth (2024). Mapping Twitter Activity in the 2019 Ukrainian Political Landscape. (external link)
• Asep Maulana; Johannes Langguth (2023). Using GNNs for Misinformation Spreader Detection via Assortativity-Aware Node Label Classification in Twitter Networks. (external link)
• Konstantin Pogorelov; James David Trotter; Xing Cai et al. (2023). Machine learning approaches for sparse matrix vector optimization. (external link)
• Sunidhi Dhandhania; Konstantin Pogorelov; Johannes Langguth (2021). Explaining the Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection. (external link)
• Johannes Langguth; Ioannis Panagiotas (2021). Shared-memory Implementation of the Karp-Sipser Kernelization Process. (external link)
• Daniel Schroeder; Ferdinand Schaal; Petra Filkukova et al. (2021). WICO Graph: a Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets. (external link)
• Petra Filkukova; Johannes Langguth (2021). How adolescents and senior citizens evaluate fake news. (external link)
• Petra Filkukova; Peter Ayton; Johannes Langguth (2021). Sociodemographic attributes, media consumption and susceptibility to fake news. (external link)
• Petra Filkukova; Peter Ayton; Johannes Langguth (2021). Motivated reasoning in the evaluation of news quality. (external link)
• Johannes Langguth; Petra Filkukova; Daniel Thilo Schroeder et al. (2021). Will technical means help in preventing digital wildfires?. (external link)
• Luk Burchard; Daniel Schroeder; Konstantin Pogorelov et al. (2020). A Scalable System for Bundling Online Social Network Mining Research. (external link)
• Kamer Kaya; Johannes Langguth; Guy Blelloch (2020). Karp-Sipser based Kernels for Bipartite Graph Matching. (external link)
• Johannes Langguth (2018). Heterogeneous HPC Computations in Cardiac Electrophysiology. (external link)
• Xing Cai; Johannes Langguth (2017). Accelerated high-performance computing for computational cardiac electrophysiology. (external link)
• Mohammed Sourouri; Espen Birger Raknes; Nico Reissmann et al. (2017). Towards Fine-Grained Dynamic Tuning of HPC Applications on Modern Multi-Core Architectures. (external link)

Conference poster

• James Trotter; Johannes Langguth; Xing Cai (2021). Automated Code Generation for GPU-Based Finite Element Computations in FEniCS. (external link)
• Daniel Schroeder; Pedro Lind; Konstantin Pogorelov et al. (2020). A Framework for Interaction-based Propagation Analysis in Online Social Networks. (external link)
• Johannes Langguth; Namit Gaur; Hermenegild Arevalo et al. (2020). Towards detailed Organ-Scale Simulations in Cardiac Electrophysiology. (external link)
• Johannes Langguth; Daniel Schroeder; Konstantin Pogorelov et al. (2020). Graph Structure Based Monitoring of Digital Wildfires. (external link)
• Johannes Langguth; Namit Gaur; Hermenegild Arevalo et al. (2020). Towards detailed Organ-Scale Simulations in Cardiac Electrophysiology. (external link)
• Kristian Gregorius Hustad; Xing Cai; Johannes Langguth et al. (2020). Efficient simulations of patient-specific electrical heart activity on the DGX-2. (external link)
• Johannes Langguth; Hermenegild Arevalo; Kristian Gregorius Hustad et al. (2019). Towards detailed real-time simulations of cardiac arrhythmia. (external link)
• James David Trotter; Johannes Langguth; Xing Cai (2018). Quantifying data traffic of sparse matrix-vector multiplication in a multi-level memory hierarchy. (external link)
• Johannes Langguth; Arevalo Hermenegild; Chad Jarvis et al. (2018). Towards Detailed Organ-Scale Simulations in Cardiac Electrophysiology. (external link)

Doctoral thesis (PhD)

• Daniel Thilo Schroeder; Johannes Langguth; Carsten Griwodz et al. (2022). Explaining News Spreading Phenomena in Social Networks : From Data Acquisition and Processing to Network Analysis and Modelling. (external link)
• Johannes Langguth (2011). Sequential and Parallel Matching Algorithms in Combinatorial Scientific Computing. (external link)

Lecture

• Johannes Langguth (2023). Accelerating Cardiac Electrophysiology Simulations using novel AI Hardware. (external link)
• Johannes Langguth (2023). Transitioning Scientific Computations to Novel AI Hardware: the Example of Cardiac Electrophysiology Simulations. (external link)
• Johannes Langguth (2023). Architectures, Algorithms, and Applications for Graph Mining and Learning. (external link)
• Johannes Langguth (2023). Parallel Incremental Clustering Algorithms for Massive Dynamic Graphs. (external link)
• Johannes Langguth; Luk Burchard (2022). ML Accelerator Hardware: A Model for Parallel Sparse Computations?. (external link)
• Johannes Langguth; Luk Burchard (2022). ML Accelerator Hardware: A Model for Parallel Sparse Computations?. (external link)
• Johannes Langguth; Ioannis Panagiotas (2021). Shared-Memory Implementation of the Karp- Sipser Kernelization Process. (external link)
• Daniel Schroeder; Johannes Langguth (2021). Spreading Online Misinformation. (external link)
• Daniel Schroeder; Johannes Langguth (2021). Explaining News Spreading Phenomena in Social Networks. (external link)
• Berntzen Samuel; Karim Tamssaouet; Johannes Langguth (2021). Connected k-Dominating Sets for Locating fast-charging stations. (external link)
• Johannes Langguth (2020). Fake News, Networks, and Natural Language Processing Tools. (external link)
• Johannes Langguth (2019). Towards real time simulations for in silico arrhythmia risk prediction. (external link)
• Johannes Langguth (2019). Approximate weight perfect matchings for pivoting in parallel sparse linear solvers. (external link)
• Johannes Langguth; Petra Filkukova (2019). Don't Trust Your Eyes: Manipulation of Visual Media in the Age of Deepfakes. (external link)
• Petra Filkukova; Peter Ayton; Johannes Langguth (2019). When sharing is not caring: Individual differences in the evaluation of news quality. (external link)
• Johannes Langguth (2019). PGAS for graph analytics: can one sided communications break the scalability barrier ?. (external link)
• Johannes Langguth (2019). PGAS for graph analytics: can one sided communications break the scalability barrier ?. (external link)
• James David Trotter; Xing Cai; Simon Wolfgang Funke et al. (2019). Compiling finite element variational forms for GPU-based assembly. (external link)
• Johannes Langguth (2019). PGAS for graph analytics: Can one sided communications break the scalability barrier?. (external link)
• Johannes Langguth; Ariful Azad (2018). A distributed - memory parallel approximation of maximum weight perfect bipartite matching. (external link)
• Johannes Langguth; Ariful Azad (2018). A distributed - memory parallel approximation of maximum weight perfect bipartite matching. (external link)
• Johannes Langguth; Xing Cai; Jun Chai (2017). Heterogeneous Manycore Simulations in Cardiac Electrophysiology. (external link)
• Johannes Langguth (2016). Hierarchical partitioning of unstructured meshes in cardiac electrophysiology. (external link)
• Johannes Langguth (2016). Heterogeneous HPC solutions in cardiac electrophysiology. (external link)
• Jeremie Alexandre Emilien Lagraviere; Johannes Langguth; Mohammed Sourouri et al. (2016). On the performance and energy efficiency of the PGAS programming model on multicore architectures. (external link)

Master’s thesis

• Kaspara Skovli Gåsvær; Morten Hjorth-Jensen; Johannes Langguth et al. (2022). Towards predicting Harmful Conspiracies through Phase Transitions in Complex Interaction Networks. (external link)
• Andreas Huber; Daniel Thilo Schroeder; Johannes Langguth et al. (2021). Observing Reddit's Interaction Network - A stream-based approach for large scale Network Analysis on Reddit. (external link)
• Emil August Torp Nilsen; Carsten Griwodz; Daniel Thilo Schroeder et al. (2020). Visualization of Large Graphs. (external link)

Research report

• Jeremie Alexandre Emilien Lagraviere; Martina Prugger; Lukas Einkemmer et al. (2016). Implementing and optimizing a Sparse Matrix-Vector Multiplication with UPC. (external link)

See a complete overview of publications in NVA.