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08/17/2023
Towards Lightweight Data Integration using Multi-workflow Provenance and Data Observability
Modern large-scale scientific discovery requires multidisciplinary colla...
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07/20/2023
ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum
Modern scientific workflows require hybrid infrastructures combining num...
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03/31/2023
Workflows Community Summit 2022: A Roadmap Revolution
Scientific workflows have become integral tools in broad scientific comp...
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07/01/2021
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds
Interactive computing notebooks, such as Jupyter notebooks, have become ...
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06/09/2021
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development
Scientific workflows are a cornerstone of modern scientific computing, a...
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05/11/2021
Distributed In-memory Data Management for Workflow Executions
Complex scientific experiments from various domains are typically modele...
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09/30/2020
Workflow Provenance in the Lifecycle of Scientific Machine Learning
Machine Learning (ML) has already fundamentally changed several business...
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03/10/2020
Managing Data Lineage of O G Machine Learning Models: The Sweet Spot for Shale Use Case
Machine Learning (ML) has increased its role, becoming essential in seve...
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10/09/2019
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering
Machine Learning (ML) has become essential in several industries. In Com...
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05/17/2019
Keeping Track of User Steering Actions in Dynamic Workflows
In long-lasting scientific workflow executions in HPC machines, computat...
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05/03/2017
