44 citations · 92 across the 9 of their papers we have counts for
9 papers
ProvDeploy: Provenance-oriented Containerization of High Performance Computing Scientific Workflows
Liliane Kunstmann, Débora Pina, Daniel de Oliveira +1
Many existing scientific workflows require High Performance Computing environments to produce results in a timely manner. These workflows have several software library components a…
ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum
Daniel Rosendo, Marta Mattoso, Alexandru Costan +4
Modern scientific workflows require hybrid infrastructures combining numerous decentralized resources on the IoT/Edge interconnected to Cloud/HPC systems (aka the Computing Continu…
Distributed In-memory Data Management for Workflow Executions
Renan Souza, Vítor Silva, Alexandre A. B. Lima +3
Complex scientific experiments from various domains are typically modeled as workflows and executed on large-scale machines using a Parallel Workflow Management System (WMS). Since…
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…
Workflow Provenance in the Lifecycle of Scientific Machine Learning
Renan Souza, Leonardo G. Azevedo, Vítor Lourenço +10
Machine Learning (ML) has already fundamentally changed several businesses. More recently, it has also been profoundly impacting the computational science and engineering domains,…
A workflow for seismic imaging with quantified uncertainty
Carlos H. S. Barbosa, Liliane N. O. Kunstmann, Rômulo M. Silva +6
The interpretation of seismic images faces challenges due to the presence of several uncertainty sources. Uncertainties exist in data measurements, source positioning, and subsurfa…
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering
Renan Souza, Leonardo Azevedo, Vítor Lourenço +10
Machine Learning (ML) has become essential in several industries. In Computational Science and Engineering (CSE), the complexity of the ML lifecycle comes from the large variety of…
Keeping Track of User Steering Actions in Dynamic Workflows
Renan Souza, Vítor Silva, José Camata +3
In long-lasting scientific workflow executions in HPC machines, computational scientists (the users in this work) often need to fine-tune several workflow parameters. These tunings…
BioWorkbench: A High-Performance Framework for Managing and Analyzing Bioinformatics Experiments
Maria Luiza Mondelli, Thiago Magalhães, Guilherme Loss +8
Advances in sequencing techniques have led to exponential growth in biological data, demanding the development of large-scale bioinformatics experiments. Because these experiments…