Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows

Rafael Ferreira Da Silva; Deborah Bard; Kyle Chard; Shaun De witt; Ian Foster; Tom Gibbs; Carole Goble; William Godoy; Johan Gustafsson; Utz- Uwe haus; Stephen Hudson; Shantenu Jha; Laila Los; Drew Paine; Fred Suter; Logan Ward; Sean Wilkinson; Marcos Amaris; Anderson Andrei da silva; 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; Daniel De oliveira; 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

doi:10.2172/2474744

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows

Rafael Ferreira Da Silva, Deborah Bard, Kyle Chard, Shaun De witt, Ian Foster, Tom Gibbs, Carole Goble, William Godoy, Johan Gustafsson, Utz- Uwe haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Fred Suter, Logan Ward, Sean Wilkinson, Marcos Amaris, Anderson Andrei da silva, Yadu BabujiJonathan 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, Daniel De oliveira, 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

Research output: Book/Report › Commissioned report

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.

Original language	English
Place of Publication	United States
DOIs	https://doi.org/10.2172/2474744
State	Published - Oct 2024

Keywords

97 MATHEMATICS AND COMPUTING

Access to Document

10.2172/2474744

Cite this

Ferreira Da Silva, R., Bard, D., Chard, K., De witt, S., Foster, I., Gibbs, T., Goble, C., Godoy, W., Gustafsson, J., Uwe haus, U., Hudson, S., Jha, S., Los, L., Paine, D., Suter, F., Ward, L., Wilkinson, S., Amaris, M., Andrei da silva, A., ... Zulfiqar, M. (2024). Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. https://doi.org/10.2172/2474744

@book{a7fb4bbf1e394a92974f966069954fdd,

title = "Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows",

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.",

keywords = "97 MATHEMATICS AND COMPUTING",

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

year = "2024",

month = oct,

doi = "10.2172/2474744",

language = "English",

}

Ferreira Da Silva, R, Bard, D, Chard, K, De witt, S, Foster, I, Gibbs, T, Goble, C, Godoy, W, Gustafsson, J, Uwe haus, U, Hudson, S, Jha, S, Los, L, Paine, D, Suter, F, Ward, L, Wilkinson, S, Amaris, M, Andrei da silva, A, Babuji, Y, Bader, J, Balin, R, Balouek, D, Beecroft, S, Belhajjame, K, Bhattarai, R, Brewer, W, Brunk, P, Caino-Lores, S, Cassol, D, Coleman, J, Coleman, T, Colonnelli, I, De oliveira, D, Elahi, P, Elfaramawy, N, Elwasif, W , Etz, B, Fahringer, T, Ferreira, W, Filgueira, R, Fosso-Tande, J, Gadelha, L, Gallo, A, Garijo, D, Georgiou, Y, Gritsch, P, Grubel, P, Gueroudji, A, Guilloteau, Q, Hamalainen, C, Huet, L, Hunter Kesling, K, Iborra, P, Jahangiri, S, Janssen, J, Jordan, J, Kanwal, S, Kunstmann, L, Lehmann, F, Leser, U, Li, C, Liu, P, Luettgau, J, Lupat, R, Fernandez, JM, Maheshwari, K, Malik, T, Marquez, J, Matsuda, M, Medic, D, Mohammadi, S, Mulone, A, Navarro, J-L, Ng, KW, Noelp, K, Kinoshita, B, Prout, R, Crusoe, M, Ristov, S, Robila, S, Rosendo, D, Rowell, B, Rybicki, J, Sanchez, H, Saurabh, N, Saurav, S, Scogland, T, Senanayake, D, Shin, W, Sirvent, R, Skluzacek, T, Sly-Delgado, B, Souza, A, Santos Souza, R, Talia, D, Tallent, N, Thamsen, L, Titov, M, Tovar, B, Vahi, K, Vardar-Irrgang, E, Vartina, E, Wang, Y, Wouters, M, Yu, Q, Al Bkhetan, Z & Zulfiqar, M 2024, Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. United States. https://doi.org/10.2172/2474744

TY - BOOK

T1 - Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows

AU - Ferreira Da Silva, Rafael

AU - Bard, Deborah

AU - Chard, Kyle

AU - De witt, Shaun

AU - Foster, Ian

AU - Gibbs, Tom

AU - Goble, Carole

AU - Godoy, William

AU - Gustafsson, Johan

AU - Uwe haus, Utz-

AU - Hudson, Stephen

AU - Jha, Shantenu

AU - Los, Laila

AU - Paine, Drew

AU - Suter, Fred

AU - Ward, Logan

AU - Wilkinson, Sean

AU - Amaris, Marcos

AU - Andrei da silva, Anderson

AU - Babuji, Yadu

AU - Bader, Jonathan

AU - Balin, Riccardo

AU - Balouek, Daniel

AU - Beecroft, Sarah

AU - Belhajjame, Khalid

AU - Bhattarai, Rajat

AU - Brewer, Wes

AU - Brunk, Paul

AU - Caino-Lores, Silvina

AU - Cassol, Daniela

AU - Coleman, Jared

AU - Coleman, Taina

AU - Colonnelli, Iacopo

AU - De oliveira, Daniel

AU - Elahi, Pascal

AU - Elfaramawy, Nour

AU - Elwasif, Wael

AU - Etz, Brian

AU - Fahringer, Thomas

AU - Ferreira, Wesley

AU - Filgueira, Rosa

AU - Fosso-Tande, Jacob

AU - Gadelha, Luiz

AU - Gallo, Andy

AU - Garijo, Daniel

AU - Georgiou, Yiannis

AU - Gritsch, Philipp

AU - Grubel, Patricia

AU - Gueroudji, Amal

AU - Guilloteau, Quentin

AU - Hamalainen, Carlo

AU - Huet, Lauren

AU - Hunter Kesling, Kevin

AU - Iborra, Paula

AU - Jahangiri, Shiva

AU - Janssen, Jan

AU - Jordan, Joe

AU - Kanwal, Sehrish

AU - Kunstmann, Liliane

AU - Lehmann, Fabian

AU - Leser, Ulf

AU - Li, Chen

AU - Liu, Peini

AU - Luettgau, Jakob

AU - Lupat, Richard

AU - Fernandez, Jose M.

AU - Maheshwari, Ketan

AU - Malik, Tanu

AU - Marquez, Jack

AU - Matsuda, Motohiko

AU - Medic, Doriana

AU - Mohammadi, Somayeh

AU - Mulone, Alberto

AU - Navarro, John-Luke

AU - Ng, Kin Wai

AU - Noelp, Klaus

AU - Kinoshita, Bruno

AU - Prout, Ryan

AU - Crusoe, Michael

AU - Ristov, Sashko

AU - Robila, Stefan

AU - Rosendo, Daniel

AU - Rowell, Billy

AU - Rybicki, Jedrzej

AU - Sanchez, Hector

AU - Saurabh, Nishant

AU - Saurav, Sumit

AU - Scogland, Tom

AU - Senanayake, Dinindu

AU - Shin, Woong

AU - Sirvent, Raul

AU - Skluzacek, Tyler

AU - Sly-Delgado, Barry

AU - Souza, Abel

AU - Santos Souza, Renan

AU - Talia, Domenico

AU - Tallent, Nathan

AU - Thamsen, Lauritz

AU - Titov, Mikhail

AU - Tovar, Benjamin

AU - Vahi, Karan

AU - Vardar-Irrgang, Eric

AU - Vartina, Edite

AU - Wang, Yuandou

AU - Wouters, Merridee

AU - Yu, Qi

AU - Al Bkhetan, Ziad

AU - Zulfiqar, Mahnoor

PY - 2024/10

Y1 - 2024/10

N2 - 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.

AB - 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.

KW - 97 MATHEMATICS AND COMPUTING

U2 - 10.2172/2474744

DO - 10.2172/2474744

M3 - Commissioned report

BT - Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows

CY - United States

ER -

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows

Abstract

Keywords

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