Keyword Analysis & Research: the future of scientific workflows

sagepub.com

https://journals.sagepub.com/doi/full/10.1177/1094342017704893

WEBApr 26, 2017 · We highlight use cases, computing systems, workflow needs and conclude by summarizing the remaining challenges this community sees that inhibit large-scale scientific workflows from becoming a mainstream tool for extreme-scale science. Author: Ewa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth ... Publish Year: 2018

Author: Ewa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth ...

Publish Year: 2018

DA: 29 PA: 48 MOZ Rank: 17

sagepub.com

https://journals.sagepub.com/doi/full/10.1177/1094342017704893

DA: 17 PA: 74 MOZ Rank: 66

anl.gov

https://www.mcs.anl.gov/papers/P7063-0617.pdf

WEBthe auspices of the DOE Office of Science to identify future challenges facing the broad adoption of work-flow systems in the DOE and the broader science com-munity. The community identified four main research areas for future workflow development. The first is the design of task coupling and data movement between workflow tasks. File Size: 849KB Page Count: 18

File Size: 849KB

Page Count: 18

DA: 44 PA: 38 MOZ Rank: 76

anl.gov

https://www.anl.gov/argonne-scientific-publications/pub/136461

WEBWe highlight use cases, computing systems, workflow needs and conclude by summarizing the remaining challenges this community sees that inhibit large-scale scientific workflows from becoming a mainstream tool for extreme-scale science.

DA: 26 PA: 10 MOZ Rank: 18

acm.org

https://dl.acm.org/doi/10.5555/3195474.3195477

WEBJan 1, 2018 · We highlight use cases, computing systems, workflow needs and conclude by summarizing the remaining challenges this community sees that inhibit large-scale scientific workflows from becoming a mainstream tool for extreme-scale science. Author: Ewa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth ... Publish Year: 2018

Author: Ewa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth ...

Publish Year: 2018

DA: 21 PA: 33 MOZ Rank: 37

semanticscholar.org

https://www.semanticscholar.org/paper/The-future-of-scientific-workflows-Deelman-Peterka/2e17202c82b6f3d6d6d1b72adbf9cd39bf2a118b

WEB2023. TLDR. This intensive manual investigation examined the reusability of existing workflows and exposed several challenges that prevented scientists from reusing those workflows, and offered guidelines to future workflow composers to create better workflows with enhancedReusability.

DA: 63 PA: 86 MOZ Rank: 40

nationalacademies.org

https://www.nationalacademies.org/news/2022/05/automated-research-workflows-are-speeding-pace-of-scientific-discovery-new-report-offers-recommendations-to-advance-their-development

WEBMay 10, 2022 · Automated research workflows — which integrate computation, laboratory automation, and tools from artificial intelligence — have the potential to increase the speed of research activities and accelerate scientific discovery. A new report recommends ways to advance their development.

DA: 71 PA: 21 MOZ Rank: 53

nationalacademies.org

https://www.nationalacademies.org/news/2022/05/automated-research-workflows-are-speeding-pace-of-scientific-discovery-new-report-offers-recommendations-to-advance-their-development

DA: 90 PA: 40 MOZ Rank: 5

acm.org

https://dl.acm.org/doi/10.1145/2034863.2034865

WEBSep 15, 2011 · In this paper, we argue that a wider adoption of SciWFM will only be achieved if the focus of research and development is shifted from methods for developing and running workflows to searching, adapting, and reusing existing workflows.

DA: 9 PA: 29 MOZ Rank: 73

sciencedirect.com

https://www.sciencedirect.com/science/article/pii/S0167739X17311202

WEBOct 1, 2017 · 1. Introduction. Data-intensive Workflows (a.k.a. scientific workflows) are routinely used in the majority of data-driven research disciplines today, often exploiting rich and diverse data resources and parallel and distributed computing platforms.

DA: 25 PA: 15 MOZ Rank: 58