Univ.-Prof. Dipl.-Ing. Dr. Wilfried Gansterer, M.Sc.
1090 Wien
Room : 6.33
Courses
Winter term 2026
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051132 VO Introduction to Numerical Computing
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052101 VU Numerical Algorithms
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052112 VU Numerical High Performance Algorithms
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053021 LP Practical Course: Computer Science 1
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053031 LP Practical Course: Computer Science 2
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053049 SE Master Seminar
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500500 SE Doctoral Research Seminar - Algorithms and Computing
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500501 SE Doctoral Research Seminar - Data and Knowledge
Summer term 2026
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052101 VU Numerical Algorithms
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053021 LP Practical Course: Computer Science 1
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053031 LP Practical Course: Computer Science 2
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053049 SE Master Seminar
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500500 SE Doctoral Research Seminar - Algorithms and Computing
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500501 SE Doctoral Research Seminar - Data and Knowledge
Winter term 2025
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051132 VO Introduction to Numerical Computing
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052101 VU Numerical Algorithms
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053021 LP Practical Course: Computer Science 1
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053031 LP Practical Course: Computer Science 2
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500500 SE Doctoral Research Seminar - Algorithms and Computing
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500501 SE Doctoral Research Seminar - Data and Knowledge
Publications
On Combining Pipelining and s-Step Concepts in Preconditioned Conjugate Gradient Methods. / Mayer, Viktoria; Gansterer, Wilfried (Corresponding author).
SIAM Conference on Parallel Processing for Scientific Computing (PP26). 2026.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Numerical Properties and Scalability of s-Step Preconditioned Conjugate Gradient Methods. / Mayer, Viktoria; Gansterer, Wilfried (Corresponding author).
16th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems (ScalAH25). 2025.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win. / Kummer, Lorenz; Moustafa, Samir; Ehrlich, Anatol et al.
Proceedings of the 42nd International Conference on Machine Learning. Vol. 267 PMLR, 2025. p. 31991-32010 (Proceedings of Machine Learning Research (PMLR), Vol. 267).
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Visualization and Analysis of the Loss Landscape in Graph Neural Networks. / Moustafa, Samir (Corresponding author); Kummer, Lorenz; Fetzel, Simon et al.
Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions: 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part V. Springer Cham, 2025. p. 69-81 (Lecture Notes in Computer Science).
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Accelerating Graph Neural Networks Using a Novel Computation-Friendly Matrix Compression Format. / Alves, Joao; Moustafa, Samir; Benkner, Siegfried et al.
IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2025. 2025.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Adaptive s-step GMRES with randomized and truncated low-synchronization orthogonalization. / Ernstbrunner, Robert; Gansterer, Wilfried (Corresponding author).
39th IEEE International Parallel Distributed Processing Symposium. 2025.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Efficient Mixed Precision Quantization in Graph Neural Networks. / Moustafa, Samir; Kriege, Nils M.; Gansterer, Wilfried (Corresponding author).
41st IEEE International Conference on Data Engineering. 2025. p. 4038-4052.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
On the Relationship Between Robustness and Expressivity of Graph Neural Networks. / Kummer, Lorenz; Gansterer, Wilfried; Kriege, Nils Morten.
Proceedings of the 28th International Conference on Artificial Intelligence and Statistics. Vol. 258 PMLR, 2025. p. 1243-1251 (Proceedings of Machine Learning Research (PMLR)).
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks. / Kummer, Lorenz; Moustafa, Samir; Gansterer, Wilfried et al.
Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence. AAAI, 2025. p. 17990-17998 (Proceedings of the ... National Conference on Artificial Intelligence; No. 17, Vol. 39).
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent. / Kummer, Lorenz; Moustafa, Samir; Schrittwieser, Sebastian et al.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining: KDD 2024. New York: Association for Computing Machinery (ACM), 2024. p. 1428-1439.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Projects
Algorithmic Data Science for Computational Drug Discovery
Resilience versus Performance in Numerical Linear Algebra
Talks
Algorithm-based Resilience in Scalable Conjugate Gradient Methods
Advanced COmputational Methods in ENgineering and Applied Mathematics (ACOMEN 2025)
A Generic Strategy for Node-Failure Resilience for Certain Iterative Linear Algebra Methods
Algorithm-based checkpoint-recovery for the conjugate gradient method
Node-Failure-Resistant Preconditioned Conjugate Gradient Method
Resilience for Large-Scale Iterative Linear Solvers
Scalable Resilience Against Node Failures for Communication-Hiding Preconditioned Conjugate Gradient and Conjugate Residual Methods
Node-failure-resistant preconditioned conjugate gradient method without replacement nodes
Extending a Preconditioned Conjugate Gradient Method Endowed with Resilience to Multiple Node Failures
How to Make the Preconditioned Conjugate Gradient Method Resilient Against Multiple Node Failures
Comparing Randomized and Deterministic Approaches for Computing Low-rank Approximations
Fast Recovery from Node Failures for the Parallel Preconditioned Conjugate Gradient Method
Some Notes on Divide-and-Conquer Eigensolvers
Silent Data Corruption in Reduction and Matrix Multiplication
Silent Data Corruption in BLAS Kernels
Resilience Properties of Gossip-Style Algorithms
Reliable Distributed Aggregation – From Theory to Practice
Analysis and Comparison of Truly Distributed Solvers for Linear Least Squares Problems on Wireless Sensor Networks
A Truly Distributed Iterative Refinement Linear Least Squares Solver
Resiliency and Reliability in Distributed Aggregation: From Theory to Practice
Reliable Distributed Aggregation: From Theory to Practice
Improving Fault Tolerance and Accuracy of Distributed Reduction Algorithms
New Developments for the Block Divide-and-Conquer Eigensolver
Distributed Reduction and Matrix Computations
Distributed Reduction and Matrix Computations
Randomized Distributed Matrix Computations based on Gossiping
New Developments for the Block Divide-and-Conquer Eigensolver
A Fast Solver for Modeling the Evolution of Virus Populations
Scalable and Fault Tolerant Orthogonalization Based on Randomized Aggregation
Towards Distributed Matrix Computations Across Wireless Networks
Distributed Linear Solvers for Field Reconstruction
On Modelling the Evolution of Virus Populations
The EU Data Retentrion Directive 2006/24/EC from a Technical Perspective : general assembly of the Internet Service Provicers Austria
Grid Application Projects in CPAMMS : Status and Perspectives COST D37 Multi Working Group Meeting
Ab initio photodynamics calculations on the Grid: approaches and applications
A Reliable Component-Based Architecture for E-Mail Filtering : Second International Conference on Availability
High Performance Computing Challenges in Drug Design : Computational Life Sciences Seminar
Grid Computing - Middleware and other Central Aspects : Working group meeting of COST D37/001/06 PHOTODYN: Computational photochemistry and photobiology
Self-Learning and Fully Transparent UCE Prevention
Project Spam Defense - Status and Directions : presentation invited by the Internet Service Providers Austria
Project Spam Defense - Status and Outlook : presentation invited by the Internet Service Providers Austria
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