Rafael Vescovi

According to our database, Rafael Vescovi authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing.

Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster

CoRR, 2024

2023

Towards a Modular Architecture for Science Factories.

Rafael Vescovi, Tobias Ginsburg, Kyle Hippe, Doga Ozgulbas, Casey Stone, Abraham Stroka, Rory Butler, Ben Blaiszik, Tom Brettin, Kyle Chard, Mark Hereld, Arvind Ramanathan, Rick Stevens, Aikaterini Vriza, Jie Xu, Qingteng Zhang, Ian T. Foster

CoRR, 2023

Active Research Data Management with the Django Globus Portal Framework.

Nickolaus D. Saint, Ryan Chard, Rafael Vescovi, Jim Pruyne, Ben Blaiszik, Rachana Ananthakrishnan, Michael E. Papka, Rick Wagner, Kyle Chard, Ian T. Foster

Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Exploring Benchmarks for Self-Driving Labs using Color Matching.

Tobias Ginsburg, Kyle Hippe, Ryan Lewis, Aileen Cleary, Doga Ozgulbas, Rory Butler, Casey Stone, Abraham Stroka, Rafael Vescovi, Ian T. Foster

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers.

Alexander Brace, Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Arvind Ramanathan, Nestor J. Zaluzec, Ian T. Foster

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

Linking scientific instruments and computation: Patterns, technologies, and experiences.

Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster

Patterns, 2022

Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences.

Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster

CoRR, 2022

2021

Braid-DB: Toward AI-Driven Science with Machine Learning Provenance.

Justin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

2020

Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data.

Rafael Vescovi, Hanyu Li, Jeffery Kinnison, Murat Keçeli, Misha Salim, Narayanan Kasthuri, Thomas D. Uram, Nicola J. Ferrier

Proceedings of the 2nd IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2020

2019

Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping.

Wushi Dong, Murat Keçeli, Rafael Vescovi, Hanyu Li, Corey Adams, Thomas D. Uram, Venkatram Vishwanath, Bobby Kasthuri, Nicola J. Ferrier, Peter Littlewood

CoRR, 2019

Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping.

Wushi Dong, Nicola J. Ferrier, Narayanan Kasthuri, Peter Littlewood, Murat Keçeli, Rafael Vescovi, Hanyu Li, Corey Adams, Elise Jennings, Samuel Flender, Thomas D. Uram, Venkatram Vishwanath

Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019

2018

High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation.

Ryan Chard, Rafael Vescovi, Ming Du, Hanyu Li, Kyle Chard, Steven Tuecke, Narayanan Kasthuri, Ian T. Foster

Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018