| Extending and Evaluating Fault-Tolerant Preconditioned Conjugate Gradient Methods C Pachajoa, M Levonyak, WN Gansterer 2018 IEEE/ACM 8th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS …, 2018 | 13 | 2018 |
| How to Make the Preconditioned Conjugate Gradient Method Resilient Against Multiple Node Failures C Pachajoa, M Levonyak, WN Gansterer, JL Träff Proceedings of the 48th International Conference on Parallel Processing, 67, 2019 | 10 | 2019 |
| Scalable Resilience Against Node Failures for Communication-Hiding Preconditioned Conjugate Gradient and Conjugate Residual Methods M Levonyak, C Pacher, WN Gansterer Proceedings of the 2020 SIAM Conference on Parallel Processing for …, 2020 | 7 | 2020 |
| Algorithm-based checkpoint-recovery for the conjugate gradient method C Pachajoa, C Pacher, M Levonyak, WN Gansterer Proceedings of the 49th International Conference on Parallel Processing, 1-11, 2020 | 6 | 2020 |
| A framework for asynchronous cross-blockchain smart contract calls M Sober, G Scaffino, M Sigwart, P Frauenthaler, M Levonyak, S Schulte 2023 Fifth International Conference on Blockchain Computing and Applications …, 2023 | | 2023 |
| Classical and pipelined preconditioned conjugate gradient methods with node-failure resilience C Pachajoa, M Levonyak, C Pacher, JL Träff, W Gansterer Austrian High-Performance-Computing Meeting (AHPC 2020), 13, 2020 | | 2020 |
| A global matrix factorization problem for interference alignment M Levonyak uniwien, 2016 | | 2016 |
| Klassifikation und Komplexität von gerichteten Kommunikationsproblemen M Levonyak | | 2012 |
