A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective

M. Taufer; E. Deelman; R. Ferreira Da Silva; T. Estrada; M. Hall; M. Livny

doi:10.1109/Cluster48925.2021.00068

A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective

M. Taufer, E. Deelman, R. Ferreira Da Silva, T. Estrada, M. Hall, M. Livny

Data Lifecycle Technologies

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

4 Scopus citations

Abstract

Scientists using the high-throughput computing (HTC) paradigm for scientific discovery rely on complex software systems and heterogeneous architectures that must deliver robust science (i.e., ensuring performance scalability in space and time; trust in technology, people, and infrastructures; and reproducible or confirmable research). Developers must overcome a variety of obstacles to pursue workflow interoperability, identify tools and libraries for robust science, port codes across different architectures, and establish trust in non-deterministic results. This poster presents recommendations to build a roadmap to overcome these challenges and enable robust science for HTC applications and workflows. The findings were collected from an international community of software developers during a Virtual World Cafe in May 2021.

Original language	English
Title of host publication	Proceedings - 2021 IEEE International Conference on Cluster Computing, Cluster 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	807-808
Number of pages	2
ISBN (Electronic)	9781728196664
DOIs	https://doi.org/10.1109/Cluster48925.2021.00068
State	Published - 2021
Event	2021 IEEE International Conference on Cluster Computing, Cluster 2021 - Virtual, Portland, United States Duration: Sep 7 2021 → Sep 10 2021

Publication series

Name	Proceedings - IEEE International Conference on Cluster Computing, ICCC
Volume	2021-September
ISSN (Print)	1552-5244

Conference

Conference	2021 IEEE International Conference on Cluster Computing, Cluster 2021
Country/Territory	United States
City	Virtual, Portland
Period	09/7/21 → 09/10/21

Funding

The work in this poster is funded by the National Science Foundation (NSF) under grants #2028881, #2028923, #2028930, #2028955, and #2028956.

Keywords

Performance Scalability
Reproducibility
Trustworthiness

Access to Document

10.1109/Cluster48925.2021.00068

Cite this

Taufer, M., Deelman, E., Da Silva, R. F., Estrada, T., Hall, M., & Livny, M. (2021). A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective. In Proceedings - 2021 IEEE International Conference on Cluster Computing, Cluster 2021 (pp. 807-808). (Proceedings - IEEE International Conference on Cluster Computing, ICCC; Vol. 2021-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Cluster48925.2021.00068

Taufer, M. ; Deelman, E. ; Da Silva, R. Ferreira et al. / A Roadmap to Robust Science for High-throughput Applications : The Developers' Perspective. Proceedings - 2021 IEEE International Conference on Cluster Computing, Cluster 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 807-808 (Proceedings - IEEE International Conference on Cluster Computing, ICCC).

@inproceedings{bcc6416c2418475ea5bdce034f96617e,

title = "A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective",

abstract = "Scientists using the high-throughput computing (HTC) paradigm for scientific discovery rely on complex software systems and heterogeneous architectures that must deliver robust science (i.e., ensuring performance scalability in space and time; trust in technology, people, and infrastructures; and reproducible or confirmable research). Developers must overcome a variety of obstacles to pursue workflow interoperability, identify tools and libraries for robust science, port codes across different architectures, and establish trust in non-deterministic results. This poster presents recommendations to build a roadmap to overcome these challenges and enable robust science for HTC applications and workflows. The findings were collected from an international community of software developers during a Virtual World Cafe in May 2021.",

keywords = "Performance Scalability, Reproducibility, Trustworthiness",

author = "M. Taufer and E. Deelman and {Da Silva}, {R. Ferreira} and T. Estrada and M. Hall and M. Livny",

note = "Publisher Copyright: {\textcopyright}2021 IEEE.; 2021 IEEE International Conference on Cluster Computing, Cluster 2021 ; Conference date: 07-09-2021 Through 10-09-2021",

year = "2021",

doi = "10.1109/Cluster48925.2021.00068",

language = "English",

series = "Proceedings - IEEE International Conference on Cluster Computing, ICCC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "807--808",

booktitle = "Proceedings - 2021 IEEE International Conference on Cluster Computing, Cluster 2021",

}

Taufer, M, Deelman, E, Da Silva, RF, Estrada, T, Hall, M & Livny, M 2021, A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective. in Proceedings - 2021 IEEE International Conference on Cluster Computing, Cluster 2021. Proceedings - IEEE International Conference on Cluster Computing, ICCC, vol. 2021-September, Institute of Electrical and Electronics Engineers Inc., pp. 807-808, 2021 IEEE International Conference on Cluster Computing, Cluster 2021, Virtual, Portland, United States, 09/7/21. https://doi.org/10.1109/Cluster48925.2021.00068

A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective. / Taufer, M.; Deelman, E.; Da Silva, R. Ferreira et al.
Proceedings - 2021 IEEE International Conference on Cluster Computing, Cluster 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 807-808 (Proceedings - IEEE International Conference on Cluster Computing, ICCC; Vol. 2021-September).

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

TY - GEN

T1 - A Roadmap to Robust Science for High-throughput Applications

T2 - 2021 IEEE International Conference on Cluster Computing, Cluster 2021

AU - Taufer, M.

AU - Deelman, E.

AU - Da Silva, R. Ferreira

AU - Estrada, T.

AU - Hall, M.

AU - Livny, M.

PY - 2021

Y1 - 2021

N2 - Scientists using the high-throughput computing (HTC) paradigm for scientific discovery rely on complex software systems and heterogeneous architectures that must deliver robust science (i.e., ensuring performance scalability in space and time; trust in technology, people, and infrastructures; and reproducible or confirmable research). Developers must overcome a variety of obstacles to pursue workflow interoperability, identify tools and libraries for robust science, port codes across different architectures, and establish trust in non-deterministic results. This poster presents recommendations to build a roadmap to overcome these challenges and enable robust science for HTC applications and workflows. The findings were collected from an international community of software developers during a Virtual World Cafe in May 2021.

AB - Scientists using the high-throughput computing (HTC) paradigm for scientific discovery rely on complex software systems and heterogeneous architectures that must deliver robust science (i.e., ensuring performance scalability in space and time; trust in technology, people, and infrastructures; and reproducible or confirmable research). Developers must overcome a variety of obstacles to pursue workflow interoperability, identify tools and libraries for robust science, port codes across different architectures, and establish trust in non-deterministic results. This poster presents recommendations to build a roadmap to overcome these challenges and enable robust science for HTC applications and workflows. The findings were collected from an international community of software developers during a Virtual World Cafe in May 2021.

KW - Performance Scalability

KW - Reproducibility

KW - Trustworthiness

UR - http://www.scopus.com/inward/record.url?scp=85126011164&partnerID=8YFLogxK

U2 - 10.1109/Cluster48925.2021.00068

DO - 10.1109/Cluster48925.2021.00068

M3 - Conference contribution

AN - SCOPUS:85126011164

T3 - Proceedings - IEEE International Conference on Cluster Computing, ICCC

SP - 807

EP - 808

BT - Proceedings - 2021 IEEE International Conference on Cluster Computing, Cluster 2021

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 7 September 2021 through 10 September 2021

ER -

Taufer M, Deelman E, Da Silva RF, Estrada T, Hall M, Livny M. A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective. In Proceedings - 2021 IEEE International Conference on Cluster Computing, Cluster 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 807-808. (Proceedings - IEEE International Conference on Cluster Computing, ICCC). doi: 10.1109/Cluster48925.2021.00068

A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this