Abstract

The 2024 Workflows Community Summit report presents the outcomes of a three-day international gathering that brought together 109 experts from 18 countries to discuss future trends and challenges in scientific workflows. The summit focused on six key areas: time-sensitive workflows, convergence of AI and HPC workflows, multi-facility workflows, heterogeneous HPC environments, user experience and interfaces, and FAIR computational workflows. Discussions highlighted emerging challenges such as integrating AI with traditional HPC, managing workflows across diverse facilities, addressing heterogeneity in computing environments, and ensuring workflows are findable, accessible, interoperable, and reusable (FAIR). The report outlines recent advances, ongoing challenges, and provides recommendations for each topic area, emphasizing the need for standardization, improved interoperability, and the development of more sophisticated tools and frameworks to support the evolving landscape of scientific workflows in the era of exascale computing and AI integration.

Date

2024

Authors

Rafael Ferreira da Silva, Deborah Bard, Kyle Chard, Ian Foster, Tom Gibbs, Carole Goble, William Godoy, Johan Gustafsson, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Fred Suter, Logan Ward, Sean Wilkinson, Marcos Amaris, Yadu Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caino-Lores, Daniela Cassol, Jared Coleman, Taina Coleman, Iacopo Colonnelli, Pascal Elahi, Nour Elfaramawy, Wael Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso-Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Luettgau, Richard Lupat, Jose M Fernandez, Ketan Maheshwari, Tanu Malik, Jack Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Noelp, Bruno Kinoshita, Ryan Prout, Michael Crusoe, Sashko Ristov, Stefan Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raul Sirvent, Tyler Skluzacek, Barry Sly-Delgado, Abel Souza, Renan Santos Souza, Domenico Talia, Nathan Tallent, Lauritz Thamsen, Mikhail Titov, Benjamin Tovar, Karan Vahi, Eric Vardar-Irrgang, Edite Vartina, Yuandou Wang, Merridee Wouters, Qi Yu, Ziad Al Bkhetan, Mahnoor Zulfiqar

Issue

ORNL/TM--2024/3573

Publisher

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)