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Gyorgy Matyasfalvi
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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
162020
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
112018
Efficient distributed-memory parallel matrix-vector multiplication with wide or tall unstructured sparse matrices
J Eckstein, G Matyasfalvi
arXiv preprint arXiv:1812.00904, 2018
42018
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
22020
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
22019
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
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