44 citations · 62 across the 9 of their papers we have counts for
11 papers
Towards Lightweight Data Integration using Multi-workflow Provenance and Data Observability
Renan Souza, Tyler J. Skluzacek, Sean R. Wilkinson +2
Modern large-scale scientific discovery requires multidisciplinary collaboration across diverse computing facilities, including High Performance Computing (HPC) machines and the Ed…
A Polystore Architecture Using Knowledge Graphs to Support Queries on Heterogeneous Data Stores
Leonardo Guerreiro Azevedo, Renan Francisco Santos Souza, Elton F. de S. Soares +4
Modern applications commonly need to manage dataset types composed of heterogeneous data and schemas, making it difficult to access them in an integrated way. A single data store t…
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…
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…
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds
Renato L. F. Cunha, Lucas V. Real, Renan Souza +2
Interactive computing notebooks, such as Jupyter notebooks, have become a popular tool for developing and improving data-driven models. Such notebooks tend to be executed either in…
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…
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…
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,…
Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case
Raphael Thiago, Renan Souza, L. Azevedo +7
Machine Learning (ML) has increased its role, becoming essential in several industries. However, questions around training data lineage, such as "where has the dataset used to trai…
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…