Johannes Langguth

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 56

Top Topics

Top Venues

Publications

Konstantin Pogorelov, James D. Trotter, Johannes Langguth
Performance Prediction for Sparse Matrix Vector Multiplication Using Structure-Dependent Features. Euro-Par Workshops (1) (2023)
Asep Maulana, Johannes Langguth
Using GNNs for Misinformation Spreader Detection via Assortativity-Aware Node Label Classification in Twitter Networks. SNAMS (2023)
James D. Trotter, Sinan Ekmekçibasi, Johannes Langguth, Tugba Torun, Emre Düzakin, Aleksandar Ilic, Didem Unat
Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs. SC (2023)
Luk Burchard, Max Xiaohang Zhao, Johannes Langguth, Aydin Buluç, Giulia Guidi
Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU. CoRR (2023)
Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, George Karypis, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Christian Schulz, Roohani Sharma, Darren Strash, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman
Open Problems in (Hyper)Graph Decomposition. CoRR (2023)
Daniel Thilo Schroeder, Mirjam de Bruijn, Luca Bruls, Mulatu Alemayehu Moges, Samba Dialimpa Badji, Noémie Fritz, Modibo Galy Cisse, Johannes Langguth, Bruce Mutsvairo, Kristin Skare Orgeret
Social media in the Global South: A Network Dataset of the Malian Twittersphere. J. Data Min. Digit. Humanit. 2023 (2023)
Daniel Thilo Schroeder, Mirjam de Bruijn, Luca Bruls, Mulatu Alemayehu Moges, Samba Dialimpa Badji, Noémie Fritz, Modibo Galy Cisse, Johannes Langguth, Bruce Mutsvairo, Kristin Skare Orgeret
Social media in the Global South: A Network Dataset of the Malian Twittersphere. CoRR (2023)
Johannes Langguth, Petra Filkuková, Stefan Brenner, Daniel Thilo Schroeder, Konstantin Pogorelov
COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire. Int. J. Data Sci. Anal. 15 (3) (2023)
Luk Burchard, Max Xiaohang Zhao, Johannes Langguth, Aydin Buluç, Giulia Guidi
Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU. SC (2023)
James D. Trotter, Johannes Langguth, Xing Cai
Targeting performance and user-friendliness: GPU-accelerated finite element computation with automated code generation in FEniCS. Parallel Comput. 118 (2023)
Franka Bause, Samir Moustafa, Johannes Langguth, Wilfried N. Gansterer, Nils M. Kriege
Non-Redundant Graph Neural Networks with Improved Expressiveness. CoRR (2023)
Kaspara Skovli Gåsvær, Pedro G. Lind, Johannes Langguth, Morten Hjorth-Jensen, Michael Kreil, Daniel Thilo Schroeder
Harmful Conspiracies in Temporal Interaction Networks: Understanding the Dynamics of Digital Wildfires through Phase Transitions. CoRR (2023)
Johannes Langguth, Daniel Thilo Schroeder, Petra Filkuková, Stefan Brenner, Jesper Phillips, Konstantin Pogorelov
COCO: an annotated Twitter dataset of COVID-19 conspiracy theories. J. Comput. Soc. Sci. 6 (2) (2023)
Johannes Langguth
Parallel Incremental Clustering Algorithms for Massive Dynamic Graphs. CF (2023)
Asep Maulana, Johannes Langguth
Leveraging GNNs and Node Entropy for Anomaly Detection: Revealing Misinformation Spreader on Twitter Network. CSoNet (2023)
George Karypis, Christian Schulz, Darren Strash, Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Roohani Sharma, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman
Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331). Dagstuhl Reports 13 (8) (2023)
Asep Maulana, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth
Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022. MediaEval (2022)
Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Asep Maulana, Johannes Langguth
Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022. MediaEval (2022)
Andreas Huber, Daniel Thilo Schroeder, Konstantin Pogorelov, Carsten Griwodz, Johannes Langguth
A Streaming System for Large-scale Temporal Graph Mining of Reddit Data. IPDPS Workshops (2022)
Johannes Moe, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth
Implementating Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs. IPDPS Workshops (2022)
Kenneth Langedal, Johannes Langguth, Fredrik Manne, Daniel Thilo Schroeder
Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks. SEA (2022)
Jérémie Lagravière, Johannes Langguth, Martina Prugger, Phuong Hoai Ha, Xing Cai
A Newcomer In The PGAS World - UPC++ vs UPC: A Comparative Study. CoRR (2021)
Daniel Thilo Schroeder, Ferdinand Schaal, Petra Filkukova, Konstantin Pogorelov, Johannes Langguth
WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets. ICAART (2) (2021)
Konstantin Pogorelov, Daniel Thilo Schroeder, Petra Filkukova, Stefan Brenner, Johannes Langguth
WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets. OASIS@HT (2021)
Luk Burchard, Xing Cai, Johannes Langguth
iPUG for Multiple Graphcore IPUs: Optimizing Performance and Scalability of Parallel Breadth-First Search. HiPC (2021)
Luk Burchard, Johannes Moe, Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth
iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. ISC (2021)
Johannes Langguth, Ioannis Panagiotas, Bora Uçar
Shared-memory implementation of the Karp-Sipser kernelization process. HiPC (2021)
Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Johannes Langguth
FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021. MediaEval (2021)
Sunidhi Dhandhania, Akshay Deodhar, Konstantin Pogorelov, Swarnendu Biswas, Johannes Langguth
Explaining the Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection. ICPP Workshops (2021)
Johannes Langguth, Aigars Tumanis, Ariful Azad
Incremental Clustering Algorithms for Massive Dynamic Graphs. ICDM (Workshops) (2021)
Konstantin Pogorelov, Daniel Thilo Schroeder, Petra Filkukova, Johannes Langguth
A System for High Performance Mining on GDELT Data. IPDPS Workshops (2020)
Luk Burchard, Daniel Thilo Schroeder, Sören Becker, Johannes Langguth
Resource Efficient Algorithms for Message Sampling in Online Social Networks. SNAMS (2020)
Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth
Evaluating Standard Classifiers for Detecting COVID-19 Related Misinformation. MediaEval (2020)
Johannes Langguth, Sebastian Schlag, Christian Schulz
Load-Balanced Bottleneck Objectives in Process Mapping. CoRR (2020)
Ariful Azad, Aydin Buluç, Xiaoye S. Li, Xinliang Wang, Johannes Langguth
A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs. SIAM J. Sci. Comput. 42 (4) (2020)
Kamer Kaya, Johannes Langguth, Ioannis Panagiotas, Bora Uçar
Karp-Sipser based kernels for bipartite graph matching. ALENEX (2020)
Luk Burchard, Daniel Thilo Schroeder, Konstantin Pogorelov, Sören Becker, Emily Dietrich, Petra Filkukova, Johannes Langguth
A Scalable System for Bundling Online Social Network Mining Research. SNAMS (2020)
James D. Trotter, Johannes Langguth, Xing Cai
Cache simulation for irregular memory traffic on multi-core CPUs: Case study on performance models for sparse matrix-vector multiplication. J. Parallel Distributed Comput. 144 (2020)
Konstantin Pogorelov, Daniel Thilo Schroeder, Luk Burchard, Johannes Moe, Stefan Brenner, Petra Filkukova, Johannes Langguth
FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020. MediaEval (2020)
Jérémie Lagravière, Johannes Langguth, Martina Prugger, Lukas Einkemmer, Phuong Hoai Ha, Xing Cai
Performance Optimization and Modeling of Fine-Grained Irregular Communication in UPC. Sci. Program. 2019 (2019)
Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha
Multi-Modal Machine Learning for Floods Detection in News, Social Media and Satellite Sequences. MediaEval (2019)
Jérémie Lagravière, Johannes Langguth, Mohammed Sourouri, Phuong Hoai Ha, Xing Cai
On the Performance and Energy Efficiency of the PGAS Programming Model on Multicore Architectures. CoRR (2019)
Johannes Langguth, Hermenegild Arevalo, Kristian Gregorius Hustad, Xing Cai
Towards Detailed Real-Time Simulations of Cardiac Arrhythmia. CinC (2019)
Chad Jarvis, Glenn Terje Lines, Johannes Langguth, Kengo Nakajima, Xing Cai
Combining Algorithmic Rethinking and AVX-512 Intrinsics for Efficient Simulation of Subcellular Calcium Signaling. ICCS (5) (2019)
Jérémie Lagravière, Johannes Langguth, Martina Prugger, Lukas Einkemmer, Phuong Hoai Ha, Xing Cai
Performance optimization and modeling of fine-grained irregular communication in UPC. CoRR (2019)
Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth
FACT: a Framework for Analysis and Capture of Twitter Graphs. SNAMS (2019)
Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha
Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences. CoRR (2019)
Johannes Langguth
PGAS for graph analytics: can one sided communications break the scalability barrier? CF (2019)
Neringa Altanaite, Johannes Langguth
GPU-based Acceleration of Detailed Tissue-Scale Cardiac Simulations. GPGPU@PPoPP (2018)
Johannes Langguth, Xing Cai, Mohammed Sourouri
Memory Bandwidth Contention: Communication vs Computation Tradeoffs in Supercomputers with Multicore Architectures. ICPADS (2018)
Ariful Azad, Aydin Buluç, Xiaoye S. Li, Xinliang Wang, Johannes Langguth
A distributed-memory approximation algorithm for maximum weight perfect bipartite matching. CoRR (2018)
Johannes Langguth, Chad Jarvis, Xing Cai
Porting Tissue-Scale Cardiac Simulations to the Knights Landing Platform. ISC Workshops (2017)
Johannes Langguth, Qiang Lan, Namit Gaur, Xing Cai
Accelerating Detailed Tissue-Scale 3D Cardiac Simulations Using Heterogeneous CPU-Xeon Phi Computing. Int. J. Parallel Program. 45 (5) (2017)
Mohammed Sourouri, Espen Birger Raknes, Nico Reissmann, Johannes Langguth, Daniel Hackenberg, Robert Schöne, Per Gunnar Kjeldsberg
Towards fine-grained dynamic tuning of HPC applications on modern multi-core architectures. SC (2017)
Johannes Langguth, Qiang Lan, Namit Gaur, Xing Cai, Mei Wen, Chunyuan Zhang
Enabling Tissue-Scale Cardiac Simulations Using Heterogeneous Computing on Tianhe-2. ICPADS (2016)
Jérémie Lagravière, Johannes Langguth, Mohammed Sourouri, Phuong Hoai Ha, Xing Cai
On the performance and energy efficiency of the PGAS programming model on multicore architectures. HPCS (2016)
Qiang Lan, Namit Gaur, Johannes Langguth, Xing Cai
Towards Detailed Tissue-Scale 3D Simulations of Electrical Activity and Calcium Handling in the Human Cardiac Ventricle. ICA3PP (3) (2015)
Johannes Langguth, Nan Wu, Jun Chai, Xing Cai
Parallel performance modeling of irregular applications in cell-centered finite volume methods over unstructured tetrahedral meshes. J. Parallel Distributed Comput. 76 (2015)
Md. Naim, Fredrik Manne, Mahantesh Halappanavar, Antonino Tumeo, Johannes Langguth
Optimizing Approximate Weighted Matching on Nvidia Kepler K40. HiPC (2015)
Johannes Langguth, Mohammed Sourouri, Glenn Terje Lines, Scott B. Baden, Xing Cai
Scalable Heterogeneous CPU-GPU Computations for Unstructured Tetrahedral Meshes. IEEE Micro 35 (4) (2015)
Mohammed Sourouri, Johannes Langguth, Filippo Spiga, Scott B. Baden, Xing Cai
CPU+GPU Programming of Stencil Computations for Resource-Efficient Use of GPU Clusters. CSE (2015)
Mahantesh Halappanavar, Alex Pothen, Ariful Azad, Fredrik Manne, Johannes Langguth, Arif M. Khan
Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures. Computer 48 (8) (2015)
Johannes Langguth, Xing Cai
Heterogeneous CPU-GPU computing for the finite volume method on 3D unstructured meshes. ICPADS (2014)
Johannes Langguth, Ariful Azad, Mahantesh Halappanavar, Fredrik Manne
On parallel push-relabel based algorithms for bipartite maximum matching. Parallel Comput. 40 (7) (2014)
Kamer Kaya, Johannes Langguth, Fredrik Manne, Bora Uçar
Push-relabel based algorithms for the maximum transversal problem. Comput. Oper. Res. 40 (5) (2013)
Johannes Langguth, Nan Wu, Jun Chai, Xing Cai
On the GPU performance of cell-centered finite volume method over unstructured tetrahedral meshes. IA3@SC (2013)
Anne Benoit, Johannes Langguth, Bora Uçar
Semi-Matching Algorithms for Scheduling Parallel Tasks under Resource Constraints. IPDPS Workshops (2013)
Ümit V. Çatalyürek, Kamer Kaya, Johannes Langguth, Bora Uçar
A partitioning-based divisive clustering technique for maximizing the modularity. Graph Partitioning and Graph Clustering (2012)
Anaël Grandjean, Johannes Langguth, Bora Uçar
On Optimal and Balanced Sparse Matrix Partitioning Problems. CLUSTER (2012)
Johannes Langguth, Md. Mostofa Ali Patwary, Fredrik Manne
Parallel algorithms for bipartite matching problems on distributed memory computers. Parallel Comput. 37 (12) (2011)
Johannes Langguth, Fredrik Manne, Peter Sanders
Heuristic initialization for bipartite matching problems. ACM J. Exp. Algorithmics 15 (2010)
Ariful Azad, Johannes Langguth, Youhan Fang, Alan Qi, Alex Pothen
Identifying Rare Cell Populations in Comparative Flow Cytometry. WABI (2010)