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2020 – today
- 2024
[j4]Elvis Rojas
, Diego Pérez, Esteban Meneses:
A characterization of soft-error sensitivity in data-parallel and model-parallel distributed deep learning. J. Parallel Distributed Comput. 190: 104879 (2024)- [j3]Gabriel Núñez, Hairol Romero-Sandí, Elvis Rojas, Esteban Meneses:
A study of pipeline parallelism in deep neural networks. Rev. Colomb. de Computación 25(1): 48-59 (2024) - [j2]Hairol Romero-Sandí, Gabriel Núñez, Elvis Rojas:
A snapshot of parallelism in distributed deep learning training. Rev. Colomb. de Computación 25(1): 60-73 (2024) - 2022
- [c6]Elvis Rojas, Michael Knobloch, Nour Daoud, Esteban Meneses, Bernd Mohr:
Early Experiences of Noise-Sensitivity Performance Analysis of a Distributed Deep Learning Framework. CLUSTER 2022: 516-522 - [c5]Elvis Rojas, Diego Pérez, Esteban Meneses:
Exploring the Effects of Silent Data Corruption in Distributed Deep Learning Training. SBAC-PAD 2022: 21-30 - 2021
- [j1]Elvis Rojas, Esteban Meneses, Terry R. Jones, Don Maxwell:
Understanding failures through the lifetime of a top-level supercomputer. J. Parallel Distributed Comput. 154: 27-41 (2021) - [c4]Elvis Rojas, Fabricio Quirós-Corella, Terry R. Jones, Esteban Meneses:
Large-Scale Distributed Deep Learning: A Study of Mechanisms and Trade-Offs with PyTorch. CARLA 2021: 177-192 - [c3]Elvis Rojas, Diego Pérez, Jon C. Calhoun, Leonardo Bautista-Gomez, Terry R. Jones, Esteban Meneses:
Understanding Soft Error Sensitivity of Deep Learning Models and Frameworks through Checkpoint Alteration. CLUSTER 2021: 492-503 - 2020
- [c2]Elvis Rojas, Esteban Meneses, Terry R. Jones, Don Maxwell:
Towards a Model to Estimate the Reliability of Large-Scale Hybrid Supercomputers. Euro-Par 2020: 37-51 - [i1]Elvis Rojas, Albert Njoroge Kahira, Esteban Meneses, Leonardo Bautista-Gomez, Rosa M. Badia:
A Study of Checkpointing in Large Scale Training of Deep Neural Networks. CoRR abs/2012.00825 (2020)
2010 – 2019
- 2019
- [c1]Elvis Rojas, Esteban Meneses, Terry R. Jones, Don Maxwell:
Analyzing a Five-Year Failure Record of a Leadership-Class Supercomputer. SBAC-PAD 2019: 196-203
Coauthor Index
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