Analyzing a Five-Year Failure Record of a Leadership-Class Supercomputer. - Elvis Rojas; Esteban Meneses; Terry R. Jones; Don Maxwell (SBAC-PAD, 2019)

Towards a Model to Estimate the Reliability of Large-Scale Hybrid Supercomputers. - Elvis Rojas; Esteban Meneses; Terry R. Jones; Don Maxwell (Euro-Par, 2020)

A Study of Checkpointing in Large Scale Training of Deep Neural Networks. - Elvis Rojas; Albert Njoroge Kahira; Esteban Meneses; Leonardo Bautista-Gomez; Rosa M. Badia (CoRR, 2020)

Large-Scale Distributed Deep Learning: A Study of Mechanisms and Trade-Offs with PyTorch. - Elvis Rojas; Fabricio Quirós-Corella; Terry R. Jones; Esteban Meneses (CARLA, 2021)

Understanding Soft Error Sensitivity of Deep Learning Models and Frameworks through Checkpoint Alteration. - Elvis Rojas; Diego Pérez; Jon C. Calhoun; Leonardo Bautista-Gomez; Terry R. Jones; Esteban Meneses (CLUSTER, 2021)

Understanding failures through the lifetime of a top-level supercomputer. - Elvis Rojas; Esteban Meneses; Terry R. Jones; Don Maxwell (J. Parallel Distributed Comput., 2021)

Early Experiences of Noise-Sensitivity Performance Analysis of a Distributed Deep Learning Framework. - Elvis Rojas; Michael Knobloch; Nour Daoud; Esteban Meneses; Bernd Mohr (CLUSTER, 2022)

Exploring the Effects of Silent Data Corruption in Distributed Deep Learning Training. - Elvis Rojas; Diego Pérez; Esteban Meneses (SBAC-PAD, 2022)

A characterization of soft-error sensitivity in data-parallel and model-parallel distributed deep learning. - Elvis Rojas; Diego Pérez; Esteban Meneses (J. Parallel Distributed Comput., 2024)

A study of pipeline parallelism in deep neural networks. - Gabriel Núñez; Hairol Romero-Sandí; Elvis Rojas; Esteban Meneses (Rev. Colomb. de Computación, 2024)

A snapshot of parallelism in distributed deep learning training. - Hairol Romero-Sandí; Gabriel Núñez; Elvis Rojas (Rev. Colomb. de Computación, 2024)

Using Checkpoint Alteration to Gauge Fault Sensitivity of HPC Scientific Applications. - Elvis Rojas; Luis Carlos N. Todd; Esteban Meneses (IPDPS (Workshops), 2025)