Elvis Rojas

Elvis Rojas

Universidad Nacional

H-index: 4

Latin America-Costa Rica

About Elvis Rojas

Elvis Rojas, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Universidad Nacional, specializes in the field of High Performance Computing, Fault Tolerance, Deep Learning, Parallel Programming.

His recent articles reflect a diverse array of research interests and contributions to the field:

A characterization of soft-error sensitivity in data-parallel and model-parallel distributed deep learning

Líneas de investigación:(Incluye reconceptualización de Áreas Estratégicas 2022 y nuevas Líneas de Investigación 2023)

Exploring the effects of silent data corruption in distributed deep learning training

Early Experiences of Noise-Sensitivity Performance Analysis of a Distributed Deep Learning Framework

Large-Scale Distributed Deep Learning: A Study of Mechanisms and Trade-Offs with PyTorch

Understanding soft error sensitivity of deep learning models and frameworks through checkpoint alteration

Understanding failures through the lifetime of a top-level supercomputer

A study of checkpointing in large scale training of deep neural networks

Elvis Rojas Information

University

Position

Instituto Tecnológico de Costa Rica

Citations(all)

114

Citations(since 2020)

93

Cited By

43

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Elvis Rojas Skills & Research Interests

High Performance Computing

Fault Tolerance

Deep Learning

Parallel Programming

Top articles of Elvis Rojas

A characterization of soft-error sensitivity in data-parallel and model-parallel distributed deep learning

Journal of Parallel and Distributed Computing

2024/8/1

Líneas de investigación:(Incluye reconceptualización de Áreas Estratégicas 2022 y nuevas Líneas de Investigación 2023)

2023

Exploring the effects of silent data corruption in distributed deep learning training

2022/11/2

Early Experiences of Noise-Sensitivity Performance Analysis of a Distributed Deep Learning Framework

2022/9/5

Elvis Rojas
Elvis Rojas

H-Index: 2

Esteban Meneses
Esteban Meneses

H-Index: 15

Large-Scale Distributed Deep Learning: A Study of Mechanisms and Trade-Offs with PyTorch

High Performance Computing: 8th Latin American Conference, CARLA 2021, Guadalajara, Mexico, October 6–8, 2021, Revised Selected Papers

2022/4

Elvis Rojas
Elvis Rojas

H-Index: 2

Esteban Meneses
Esteban Meneses

H-Index: 15

Understanding soft error sensitivity of deep learning models and frameworks through checkpoint alteration

2021/9/7

Understanding failures through the lifetime of a top-level supercomputer

Journal of Parallel and Distributed Computing

2021/8/1

A study of checkpointing in large scale training of deep neural networks

arXiv preprint arXiv:2012.00825

2020/12/1

Elvis Rojas
Elvis Rojas

H-Index: 2

Esteban Meneses
Esteban Meneses

H-Index: 15

Evaluating Resilience of Deep Learning Models

Revista Tecnología en Marcha

2020/3/27

Elvis Rojas
Elvis Rojas

H-Index: 2

Esteban Meneses
Esteban Meneses

H-Index: 15

Towards a model to estimate the reliability of large-scale hybrid supercomputers

2020

See List of Professors in Elvis Rojas University(Universidad Nacional)

Co-Authors

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