TY - GEN
T1 - Applicability study of the PRIMAD model to LIGO gravitational wave search workflows
AU - Chapp, Dylan
AU - Rorabaugh, Danny
AU - Brown, Duncan A.
AU - Deelman, Ewa
AU - Vahi, Karan
AU - Welch, Von
AU - Taufer, Michela
N1 - Funding Information:
The authors thank Almadena Chtchelkanova and the U.S. National Science Foundation for sponsoring the July 25, 2017 workshop that provided the foundation on the PRIMAD model. The authors also thank the workshop attendees: Michael A. Heroux, Sandia National Laboratories; Lorena A. Barba, Ronald Boisvert, National Institute of Standards and Technology; Bruce Childers, University of Pittsburgh; Juliana Freire, New York University; Carlos Maltzahn, University of California, Santa Cruz; Wilf Pinfold, Urban.Systems; Jeff Spies, Center for Open Science. The work was supported by NSF awards OAC-1841399, OAC-1823405, OAC-1823378, and CCF-1841552.
Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/6/17
Y1 - 2019/6/17
N2 - The PRIMAD model with its six components (i.e., Platform, Research Objective, Implementation, Methods, Actors, and Data) provides an abstract taxonomy to represent computational experiments and promote reproducibility by design. In this paper, we employ a post-hoc assessment of the model applicability to a set of Laser Interferometer Gravitational-Wave Observatory (LIGO) workflows from literature sources (i.e., published papers). Our work outlines potential advantages and limitations of the model in terms of its levels of abstraction and means of application.
AB - The PRIMAD model with its six components (i.e., Platform, Research Objective, Implementation, Methods, Actors, and Data) provides an abstract taxonomy to represent computational experiments and promote reproducibility by design. In this paper, we employ a post-hoc assessment of the model applicability to a set of Laser Interferometer Gravitational-Wave Observatory (LIGO) workflows from literature sources (i.e., published papers). Our work outlines potential advantages and limitations of the model in terms of its levels of abstraction and means of application.
KW - LIGO
KW - PRIMAD
KW - Reproducibility
KW - Workflows
UR - http://www.scopus.com/inward/record.url?scp=85069172518&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85069172518&partnerID=8YFLogxK
U2 - 10.1145/3322790.3330591
DO - 10.1145/3322790.3330591
M3 - Conference contribution
AN - SCOPUS:85069172518
T3 - P-RECS 2019 - Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, co-located with HPDC 2019
SP - 1
EP - 6
BT - P-RECS 2019 - Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, co-located with HPDC 2019
PB - Association for Computing Machinery, Inc
T2 - 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, P-RECS 2019, co-located with HPDC 2019
Y2 - 24 June 2019
ER -