49 citations · 50 across the 2 of their papers we have counts for
5 papers
MGit: A Model Versioning and Management System
Wei Hao, Daniel Mendoza, Rafael da Silva +2
Models derived from other models are extremely common in machine learning (ML) today. For example, transfer learning is used to create task-specific models from "pre-trained" model…
Workflows Community Summit 2022: A Roadmap Revolution
Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala +102
Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex s…
Co-scheduling Ensembles of In Situ Workflows
Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva +4
Molecular dynamics (MD) simulations are widely used to study large-scale molecular systems. HPC systems are ideal platforms to run these studies, however, reaching the necessary si…
Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows
Rafael Ferreira da Silva, Kyle Chard, Henri Casanova +11
The importance of workflows is highlighted by the fact that they have underpinned some of the most significant discoveries of the past decades. Many of these workflows have signifi…
A Community Roadmap for Scientific Workflows Research and Development
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +26
The landscape of workflow systems for scientific applications is notoriously convoluted with hundreds of seemingly equivalent workflow systems, many isolated research claims, and a…