Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education

Henri Casanova; Ewa Deelman; Sandra Gesing; Michael Hildreth; Stephen Hudson; William Koch; Jeffrey Larson; Mary Ann McDowell; Natalie Meyers; John Luke Navarro; George Papadimitriou; Ryan Tanaka; Ian Taylor; Douglas Thain; Stefan M. Wild; Rosa Filgueira; Rafael Ferreira da Silva

doi:10.1109/WORKS54523.2021.00015

Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education

Henri Casanova, Ewa Deelman, Sandra Gesing, Michael Hildreth, Stephen Hudson, William Koch, Jeffrey Larson, Mary Ann McDowell, Natalie Meyers, John Luke Navarro, George Papadimitriou, Ryan Tanaka, Ian Taylor, Douglas Thain, Stefan M. Wild, Rosa Filgueira, Rafael Ferreira da Silva

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Lightning talks of the Workflows in Support of Large-Scale Science (WORKS) workshop are a venue where the workflow community (researchers, developers, and users) can discuss work in progress, emerging technologies and frameworks, and training and education materials. This paper summarizes the WORKS 2021 lightning talks, which cover four broad topics: (i) libEnsemble, a Python library to coordinate the concurrent evaluation of dynamic ensembles of calculations; (ii) Edu WRENCH, a set of online pedagogic modules that provides simulation-driven hands-on activity in the browser; (iii) VisDict, an envisioned visual dictionary framework that will translate terms, jargon, and concepts between research domains and workflow providers; and (iv) Pegasus Kickstart, a lightweight tool for capturing workflow tasks' performance, including performance metrics from Nvidia GPUs.

Original language	English
Title of host publication	2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS)
Publisher	IEEE
Pages	74-80
Number of pages	7
ISBN (Electronic)	9781665411363
DOIs	https://doi.org/10.1109/WORKS54523.2021.00015
Publication status	Published - 28 Dec 2021
Event	16th IEEE Workshop on Workflows in Support of Large-Scale Science 2021 - St. Louis, United States Duration: 15 Nov 2021 → …

Conference

Conference	16th IEEE Workshop on Workflows in Support of Large-Scale Science 2021
Abbreviated title	WORKS 2021
Country/Territory	United States
City	St. Louis
Period	15/11/21 → …

Keywords

Concurrent computing
Ensembles
GPU
Monitoring
Numerical optimization
Nvidia
Python
Scientific workflows
Simulation
Training and education

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Information Systems and Management
Chemical Engineering (miscellaneous)
Engineering (miscellaneous)
Health Informatics
Education

Access to Document

10.1109/WORKS54523.2021.00015

Cite this

Casanova, H., Deelman, E., Gesing, S., Hildreth, M., Hudson, S., Koch, W., Larson, J., McDowell, M. A., Meyers, N., Navarro, J. L., Papadimitriou, G., Tanaka, R., Taylor, I., Thain, D., Wild, S. M., Filgueira, R., & da Silva, R. F. (2021). Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education. In 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS) (pp. 74-80). IEEE. https://doi.org/10.1109/WORKS54523.2021.00015

@inproceedings{f3a4fb88d7984a7a8fc8940ad58d130f,

title = "Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education",

abstract = "Lightning talks of the Workflows in Support of Large-Scale Science (WORKS) workshop are a venue where the workflow community (researchers, developers, and users) can discuss work in progress, emerging technologies and frameworks, and training and education materials. This paper summarizes the WORKS 2021 lightning talks, which cover four broad topics: (i) libEnsemble, a Python library to coordinate the concurrent evaluation of dynamic ensembles of calculations; (ii) Edu WRENCH, a set of online pedagogic modules that provides simulation-driven hands-on activity in the browser; (iii) VisDict, an envisioned visual dictionary framework that will translate terms, jargon, and concepts between research domains and workflow providers; and (iv) Pegasus Kickstart, a lightweight tool for capturing workflow tasks' performance, including performance metrics from Nvidia GPUs. ",

keywords = "Concurrent computing, Ensembles, GPU, Monitoring, Numerical optimization, Nvidia, Python, Scientific workflows, Simulation, Training and education",

author = "Henri Casanova and Ewa Deelman and Sandra Gesing and Michael Hildreth and Stephen Hudson and William Koch and Jeffrey Larson and McDowell, {Mary Ann} and Natalie Meyers and Navarro, {John Luke} and George Papadimitriou and Ryan Tanaka and Ian Taylor and Douglas Thain and Wild, {Stefan M.} and Rosa Filgueira and {da Silva}, {Rafael Ferreira}",

note = "Funding Information: Acknowledgments. This work is funded by NSF contracts #1923539 and #1923621; and partly funded by NSF contracts #2103489, and #2103508. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. Funding Information: Acknowledgments. This work is funded by DOE contract #DESC0012636 and NSF contract #1664162. Funding Information: Acknowledgments. This work is funded by NSF contracts #2100561 and #2100636. Publisher Copyright: {\textcopyright} 2021 IEEE.; 16th IEEE Workshop on Workflows in Support of Large-Scale Science 2021, WORKS 2021 ; Conference date: 15-11-2021",

year = "2021",

month = dec,

day = "28",

doi = "10.1109/WORKS54523.2021.00015",

language = "English",

pages = "74--80",

booktitle = "2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS)",

publisher = "IEEE",

address = "United States",

}

Casanova, H, Deelman, E, Gesing, S, Hildreth, M, Hudson, S, Koch, W, Larson, J, McDowell, MA, Meyers, N, Navarro, JL, Papadimitriou, G, Tanaka, R, Taylor, I, Thain, D, Wild, SM, Filgueira, R & da Silva, RF 2021, Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education. in 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS). IEEE, pp. 74-80, 16th IEEE Workshop on Workflows in Support of Large-Scale Science 2021, St. Louis, Missouri, United States, 15/11/21. https://doi.org/10.1109/WORKS54523.2021.00015

TY - GEN

T1 - Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education

AU - Casanova, Henri

AU - Deelman, Ewa

AU - Gesing, Sandra

AU - Hildreth, Michael

AU - Hudson, Stephen

AU - Koch, William

AU - Larson, Jeffrey

AU - McDowell, Mary Ann

AU - Meyers, Natalie

AU - Navarro, John Luke

AU - Papadimitriou, George

AU - Tanaka, Ryan

AU - Taylor, Ian

AU - Thain, Douglas

AU - Wild, Stefan M.

AU - Filgueira, Rosa

AU - da Silva, Rafael Ferreira

N1 - Funding Information: Acknowledgments. This work is funded by NSF contracts #1923539 and #1923621; and partly funded by NSF contracts #2103489, and #2103508. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. Funding Information: Acknowledgments. This work is funded by DOE contract #DESC0012636 and NSF contract #1664162. Funding Information: Acknowledgments. This work is funded by NSF contracts #2100561 and #2100636. Publisher Copyright: © 2021 IEEE.

PY - 2021/12/28

Y1 - 2021/12/28

N2 - Lightning talks of the Workflows in Support of Large-Scale Science (WORKS) workshop are a venue where the workflow community (researchers, developers, and users) can discuss work in progress, emerging technologies and frameworks, and training and education materials. This paper summarizes the WORKS 2021 lightning talks, which cover four broad topics: (i) libEnsemble, a Python library to coordinate the concurrent evaluation of dynamic ensembles of calculations; (ii) Edu WRENCH, a set of online pedagogic modules that provides simulation-driven hands-on activity in the browser; (iii) VisDict, an envisioned visual dictionary framework that will translate terms, jargon, and concepts between research domains and workflow providers; and (iv) Pegasus Kickstart, a lightweight tool for capturing workflow tasks' performance, including performance metrics from Nvidia GPUs.

AB - Lightning talks of the Workflows in Support of Large-Scale Science (WORKS) workshop are a venue where the workflow community (researchers, developers, and users) can discuss work in progress, emerging technologies and frameworks, and training and education materials. This paper summarizes the WORKS 2021 lightning talks, which cover four broad topics: (i) libEnsemble, a Python library to coordinate the concurrent evaluation of dynamic ensembles of calculations; (ii) Edu WRENCH, a set of online pedagogic modules that provides simulation-driven hands-on activity in the browser; (iii) VisDict, an envisioned visual dictionary framework that will translate terms, jargon, and concepts between research domains and workflow providers; and (iv) Pegasus Kickstart, a lightweight tool for capturing workflow tasks' performance, including performance metrics from Nvidia GPUs.

KW - Concurrent computing

KW - Ensembles

KW - GPU

KW - Monitoring

KW - Numerical optimization

KW - Nvidia

KW - Python

KW - Scientific workflows

KW - Simulation

KW - Training and education

UR - http://www.scopus.com/inward/record.url?scp=85124560211&partnerID=8YFLogxK

U2 - 10.1109/WORKS54523.2021.00015

DO - 10.1109/WORKS54523.2021.00015

M3 - Conference contribution

AN - SCOPUS:85124560211

SP - 74

EP - 80

BT - 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS)

PB - IEEE

T2 - 16th IEEE Workshop on Workflows in Support of Large-Scale Science 2021

Y2 - 15 November 2021

ER -

Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this