Chimbuko: A workflow-level scalable performance trace analysis tool C Kelly, S Ha, K Huck, H Van Dam, L Pouchard, G Matyasfalvi, L Tang, ... ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and …, 2020 | 16 | 2020 |
Prescriptive provenance for streaming analysis of workflows at scale L Pouchard, K Huck, G Matyasfalvi, D Tao, L Tang, H Van Dam, S Yoo 2018 New York Scientific Data Summit (NYSDS), 1-6, 2018 | 11 | 2018 |
Efficient distributed-memory parallel matrix-vector multiplication with wide or tall unstructured sparse matrices J Eckstein, G Matyasfalvi arXiv preprint arXiv:1812.00904, 2018 | 4 | 2018 |
Chimbuko: a workflow-level scalable performance trace analysis tool S Ha, W Jeong, G Matyasfalvi, C Xie, K Huck, JY Choi, A Malik, L Tang, ... arXiv preprint arXiv:2008.13742, 2020 | 2 | 2020 |
Exploratory visual analysis of anomalous runtime behavior in streaming high performance computing applications C Xie, W Jeong, G Matyasfalvi, H Van Dam, K Mueller, S Yoo, W Xu Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019 | 2 | 2019 |
OPOS: Object-Parallel Optimization Software G Matyasfalvi Rutgers University, 2018 | | 2018 |
Object-parallel infrastructure for implementing first-order methods with an example application to LASSO J Eckstein, G Mátyásfalvi | | 2015 |
First-Order Approximate Augmented Lagrangian Method (FOAAL) Implemented via an Object-Parallel Infrastructure for First-Order Methods G Matyasfalvi, J Eckstein, JP Watson Summer Proceedings 2015, The Computing Research Center at Sandia National …, 2015 | | 2015 |
Semidefinite and Second Order Cone Programming Seminar Final Project Part I W Yao, G Matyasfalvi | | 2012 |
The influence of lane changing on spontaneous highway traffic congestion through the implementation and mean field approximation of the cellular automata type NaSch model G Mátyásfalvi, T Pröhle | | 2011 |