207 citations · 291 across the 7 of their papers we have counts for
10 papers
Enabling Dynamic and Intelligent Workflows for HPC, Data Analytics, and AI Convergence
Jorge Ejarque, Rosa M. Badia, Loïc Albertin +34
The evolution of High-Performance Computing (HPC) platforms enables the design and execution of progressively larger and more complex workflow applications in these systems. The co…
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +55
Scientific workflows are a cornerstone of modern scientific computing, and they have underpinned some of the most significant discoveries of the last decade. Many of these workflow…
ds-array: A Distributed Data Structure for Large Scale Machine Learning
Javier Álvarez Cid-Fuentes, Pol Álvarez, Salvi Solà +3
Machine learning has proved to be a useful tool for extracting knowledge from scientific data in numerous research fields, including astrophysics, genomics, and molecular dynamics.…
Workflows Community Summit: Bringing the Scientific Workflows Community Together
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +42
Scientific workflows have been used almost universally across scientific domains, and have underpinned some of the most significant discoveries of the past several decades. Many of…
A Study of Checkpointing in Large Scale Training of Deep Neural Networks
Elvis Rojas, Albert Njoroge Kahira, Esteban Meneses +2
Deep learning (DL) applications are increasingly being deployed on HPC systems, to leverage the massive parallelism and computing power of those systems for DL model training. Whil…
A Programming Model for Hybrid Workflows: combining Task-based Workflows and Dataflows all-in-one
Cristian Ramon-Cortes, Francesc Lordan, Jorge Ejarque +1
This paper tries to reduce the effort of learning, deploying, and integrating several frameworks for the development of e-Science applications that combine simulations with High-Pe…