Johannes Langguth

Orcid: 0000-0003-4200-511X

According to our database1, Johannes Langguth authored at least 70 papers between 2010 and 2024.

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Bibliography

2024
iPuma: High-Performance Sequence Alignment on the Graphcore IPU.
Proceedings of the ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 2024

On the Two Sides of Redundancy in Graph Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023
Targeting performance and user-friendliness: GPU-accelerated finite element computation with automated code generation in FEniCS.
Parallel Comput., November, 2023

COCO: an annotated Twitter dataset of COVID-19 conspiracy theories.
J. Comput. Soc. Sci., October, 2023

COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire.
Int. J. Data Sci. Anal., April, 2023

Social media in the Global South: A Network Dataset of the Malian Twittersphere.
J. Data Min. Digit. Humanit., March, 2023

Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331).
Dagstuhl Reports, 2023

Open Problems in (Hyper)Graph Decomposition.
CoRR, 2023

Harmful Conspiracies in Temporal Interaction Networks: Understanding the Dynamics of Digital Wildfires through Phase Transitions.
CoRR, 2023

Non-Redundant Graph Neural Networks with Improved Expressiveness.
CoRR, 2023

Using GNNs for Misinformation Spreader Detection via Assortativity-Aware Node Label Classification in Twitter Networks.
Proceedings of the Tenth International Conference on Social Networks Analysis, 2023

Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs.
Proceedings of the International Conference for High Performance Computing, 2023

Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU.
Proceedings of the International Conference for High Performance Computing, 2023

Performance Prediction for Sparse Matrix Vector Multiplication Using Structure-Dependent Features.
Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023

Leveraging GNNs and Node Entropy for Anomaly Detection: Revealing Misinformation Spreader on Twitter Network.
Proceedings of the Computational Data and Social Networks - 12th International Conference, 2023

Parallel Incremental Clustering Algorithms for Massive Dynamic Graphs.
Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022
Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks.
Proceedings of the 20th International Symposium on Experimental Algorithms, 2022

Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022.
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022.
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Implementating Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

A Streaming System for Large-scale Temporal Graph Mining of Reddit Data.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021
A Newcomer In The PGAS World - UPC++ vs UPC: A Comparative Study.
CoRR, 2021

iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs.
Proceedings of the High Performance Computing - 36th International Conference, 2021

FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Incremental Clustering Algorithms for Massive Dynamic Graphs.
Proceedings of the 2021 International Conference on Data Mining, 2021

Explaining the Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection.
Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

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, 2021

WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets.
Proceedings of the OASIS@HT 2021: Proceedings of the 2021 Workshop on Open Challenges in Online Social Networks, 2021

Shared-memory implementation of the Karp-Sipser kernelization process.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

iPUG for Multiple Graphcore IPUs: Optimizing Performance and Scalability of Parallel Breadth-First Search.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2020
A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs.
SIAM J. Sci. Comput., 2020

Cache simulation for irregular memory traffic on multi-core CPUs: Case study on performance models for sparse matrix-vector multiplication.
J. Parallel Distributed Comput., 2020

Load-Balanced Bottleneck Objectives in Process Mapping.
CoRR, 2020

A Scalable System for Bundling Online Social Network Mining Research.
Proceedings of the Seventh International Conference on Social Networks Analysis, 2020

Resource Efficient Algorithms for Message Sampling in Online Social Networks.
Proceedings of the Seventh International Conference on Social Networks Analysis, 2020

Evaluating Standard Classifiers for Detecting COVID-19 Related Misinformation.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

A System for High Performance Mining on GDELT Data.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Karp-Sipser based kernels for bipartite graph matching.
Proceedings of the Symposium on Algorithm Engineering and Experiments, 2020

2019
Performance Optimization and Modeling of Fine-Grained Irregular Communication in UPC.
Sci. Program., 2019

Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences.
CoRR, 2019

FACT: a Framework for Analysis and Capture of Twitter Graphs.
Proceedings of the Sixth International Conference on Social Networks Analysis, 2019

Multi-Modal Machine Learning for Floods Detection in News, Social Media and Satellite Sequences.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Combining Algorithmic Rethinking and AVX-512 Intrinsics for Efficient Simulation of Subcellular Calcium Signaling.
Proceedings of the Computational Science - ICCS 2019, 2019

Towards Detailed Real-Time Simulations of Cardiac Arrhythmia.
Proceedings of the 46th Computing in Cardiology, 2019

PGAS for graph analytics: can one sided communications break the scalability barrier?
Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2018
A distributed-memory approximation algorithm for maximum weight perfect bipartite matching.
CoRR, 2018

GPU-based Acceleration of Detailed Tissue-Scale Cardiac Simulations.
Proceedings of the 11th Workshop on General Purpose Processing using GPUs, 2018

Memory Bandwidth Contention: Communication vs Computation Tradeoffs in Supercomputers with Multicore Architectures.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

2017
Accelerating Detailed Tissue-Scale 3D Cardiac Simulations Using Heterogeneous CPU-Xeon Phi Computing.
Int. J. Parallel Program., 2017

Porting Tissue-Scale Cardiac Simulations to the Knights Landing Platform.
Proceedings of the High Performance Computing, 2017

Towards fine-grained dynamic tuning of HPC applications on modern multi-core architectures.
Proceedings of the International Conference for High Performance Computing, 2017

2016
On the performance and energy efficiency of the PGAS programming model on multicore architectures.
Proceedings of the International Conference on High Performance Computing & Simulation, 2016

Enabling Tissue-Scale Cardiac Simulations Using Heterogeneous Computing on Tianhe-2.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

2015
Scalable Heterogeneous CPU-GPU Computations for Unstructured Tetrahedral Meshes.
IEEE Micro, 2015

Parallel performance modeling of irregular applications in cell-centered finite volume methods over unstructured tetrahedral meshes.
J. Parallel Distributed Comput., 2015

Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures.
Computer, 2015

Towards Detailed Tissue-Scale 3D Simulations of Electrical Activity and Calcium Handling in the Human Cardiac Ventricle.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Optimizing Approximate Weighted Matching on Nvidia Kepler K40.
Proceedings of the 22nd IEEE International Conference on High Performance Computing, 2015

CPU+GPU Programming of Stencil Computations for Resource-Efficient Use of GPU Clusters.
Proceedings of the 18th IEEE International Conference on Computational Science and Engineering, 2015

2014
On parallel push-relabel based algorithms for bipartite maximum matching.
Parallel Comput., 2014

Heterogeneous CPU-GPU computing for the finite volume method on 3D unstructured meshes.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

2013
Push-relabel based algorithms for the maximum transversal problem.
Comput. Oper. Res., 2013

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, 2013

Semi-Matching Algorithms for Scheduling Parallel Tasks under Resource Constraints.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

2012
A partitioning-based divisive clustering technique for maximizing the modularity.
Proceedings of the Graph Partitioning and Graph Clustering, 2012

On Optimal and Balanced Sparse Matrix Partitioning Problems.
Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

2011
Parallel algorithms for bipartite matching problems on distributed memory computers.
Parallel Comput., 2011

2010
Heuristic initialization for bipartite matching problems.
ACM J. Exp. Algorithmics, 2010

Identifying Rare Cell Populations in Comparative Flow Cytometry.
Proceedings of the Algorithms in Bioinformatics, 10th International Workshop, 2010


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