Towards Long-Term Scientific Model Sustainment at Sandia National Laboratories

被引:0
作者
Gilbertson, Christian [1 ]
Milewicz, Reed [1 ]
Berquist, Eric [1 ]
Brundage, Aaron [1 ]
Engelmann, John [1 ]
Evans, Brian [1 ]
Francis, Nicholas [1 ]
Friedman-Hill, Ernest [1 ]
Grayson, Samuel [1 ]
Harvey, Evan [1 ]
Ho, Eric [1 ]
Hoffman, Edward [1 ]
Irick, Kevin W. [1 ]
Krishna, Anagha [1 ]
Moreno, Aaron [1 ]
Teves, Joshua [1 ]
机构
[1] Sandia Natl Labs, POB 5800, Albuquerque, NM 87185 USA
来源
PROCEEDINGS OF 2024 39TH ACM/IEEE INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING, ASE 2024 | 2024年
关键词
model sustainment; workflow management; DevOps; continuous integration; security; SIMULATION;
D O I
10.1145/3691620.3695276
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Scientific modeling and simulation software is ubiquitous at Sandia National Laboratories and is integral to providing empirical justification to critical mission decisions. Models are increasingly being expressed as workflows to simplify the many steps needed in scientific analyses but keeping these models and workflows alive for the decades-long timescales needed by Sandia remains a struggle. Additionally, the manual use and (lack of) maintenance of these models creates significant risks for duplicated work and model capability loss over time from changing personnel and computing environments. To address these issues, we are building the Engineering Common Modeling Framework (ECMF), a platform for scientific model sustainment at Sandia. ECMF enables the automatic evaluation of models over time and will ensure that models created at Sandia are discoverable and ready to be revisited, extended, and reused. In this paper, we report our current and planned capabilities as well as lessons learned from our framework development process.
引用
收藏
页码:2142 / 2147
页数:6
相关论文
共 40 条
[1]   Introducing the FAIR Principles for research software [J].
Barker, Michelle ;
Hong, Neil P. Chue ;
Katz, Daniel S. ;
Lamprecht, Anna-Lena ;
Martinez-Ortiz, Carlos ;
Psomopoulos, Fotis ;
Harrow, Jennifer ;
Castro, Leyla Jael ;
Gruenpeter, Morane ;
Martinez, Paula Andrea ;
Honeyman, Tom .
SCIENTIFIC DATA, 2022, 9 (01)
[2]   Using Jupyter for Reproducible Scientific Workflows [J].
Beg, Marijan ;
Taka, Juliette ;
Kluyver, Thomas ;
Konovalov, Alexander ;
Ragan-Kelley, Min ;
Thiery, Nicolas M. ;
Fangohr, Hans .
COMPUTING IN SCIENCE & ENGINEERING, 2021, 23 (02) :36-46
[3]  
Bocciarelli Paolo, 2020, 2020 IEEE 29 INT C E, P88
[4]  
Canzani Elisa, 2023, PREPRINT
[5]  
Cayirci E, 2013, WINT SIMUL C PROC, P389, DOI 10.1109/WSC.2013.6721436
[6]   A conceptual, methodological and technical contribution for Modeling and V&V in MBSE context [J].
Chapurlat, Vincent ;
Nastov, Blazho ;
Bourdon, Jeremy .
2022 IEEE INTERNATIONAL SYMPOSIUM ON SYSTEMS ENGINEERING (ISSE), 2022,
[7]  
Chue Hong N P., 2022, Fair principles for research software (fair4rs principles)
[8]  
DOBAJ J, 2022, ICSE WORKSHOP SOFTWA, P132, DOI [DOI 10.1145/3524844.3528057, 10.1145]
[9]  
energy, 2020, about us
[10]   Model-based Systems Engineering methodology for defining multi-physics simulation models [J].
Galisson, Gregoire ;
Hammadi, Moncef ;
Gherib, Mehdi ;
Choley, Jean-Yves .
SYSCON 2022: THE 16TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON), 2022,