Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations

Autor: Groen, D., Richardson, R.A., Wright, D.W., Jancauskas, V., Sinclair, R., Karlshoefer, P., Vassaux, M., Arabnejad, H., Piontek, T., Kopta, P., Bosak, B., Lakhlili, J., Hoenen, O., Suleimenova, D., Edeling, W., Crommelin, D., Nikishova, A., Coveney, P.V., Rodrigues, J.M.F., Cardoso, P.J.S., Monteiro, J., Lam, R., Krzhizhanovskaya, V.V., Lees, M.H., Dongarra, J.J., Sloot, P.M.A.
Přispěvatelé: Laboratoire de Mécanique et Technologie (LMT), École normale supérieure - Cachan (ENS Cachan)-Centre National de la Recherche Scientifique (CNRS), Analysis (KDV, FNWI), KDV (FNWI), Computational Science Lab (IVI, FNWI), Centrum Wiskunde & Informatica, Amsterdam (CWI), The Netherlands
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Computer science
uncertainty quantification
02 engineering and technology
[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]
01 natural sciences
Computational science
[SPI.MAT]Engineering Sciences [physics]/Materials
[PHYS.MECA.MEMA]Physics [physics]/Mechanics [physics]/Mechanics of materials [physics.class-ph]
[PHYS.MECA.STRU]Physics [physics]/Mechanics [physics]/Structural mechanics [physics.class-ph]
multiscale simulations
Validation
[PHYS.MECA.SOLID]Physics [physics]/Mechanics [physics]/Solid mechanics [physics.class-ph]
0202 electrical engineering
electronic engineering
information engineering
Cluster (physics)
[SPI.GCIV.RISQ]Engineering Sciences [physics]/Civil Engineering/Risques
[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]
0101 mathematics
Uncertainty quantification
ComputingMilieux_MISCELLANEOUS
validation
[SPI.GCIV.GEOTECH]Engineering Sciences [physics]/Civil Engineering/Géotechnique
Verification
[PHYS.MECA.MSMECA]Physics [physics]/Mechanics [physics]/Materials and structures in mechanics [physics.class-ph]
[INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]
Supercomputer
010101 applied mathematics
Range (mathematics)
020201 artificial intelligence & image processing
[SPI.GCIV.STRUCT]Engineering Sciences [physics]/Civil Engineering/Structures
Multiscale simulations
[SPI.GCIV.MAT]Engineering Sciences [physics]/Civil Engineering/Matériaux composites et construction
verification
[SPI.GCIV.GCN]Engineering Sciences [physics]/Civil Engineering/Génie civil nucléaire
Zdroj: Computational Science – ICCS 2019
Computational Science – ICCS 2019, 11539, Springer International Publishing, pp.479-492, 2019, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-22747-0_36⟩
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computational Science – ICCS 2019
Lecture Notes in Computer Science ISBN: 9783030227463
ICCS (4)
Computational Science – ICCS 2019: 19th International Conference Faro, Portugal, June 12-14, 2019 Proceedings, IV, 479-492
Computational Science – ICCS 2019-19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part IV
ISSN: 0302-9743
1611-3349
DOI: 10.1007/978-3-030-22747-0_36⟩
Popis: Multiscale simulations are an essential computational method in a range of research disciplines, and provide unprecedented levels of scientific insight at a tractable cost in terms of effort and compute resources. To provide this, we need such simulations to produce results that are both robust and actionable. The VECMA toolkit (VECMAtk), which is officially released in conjunction with the present paper, establishes a platform to achieve this by exposing patterns for verification, validation and uncertainty quantification (VVUQ). These patterns can be combined to capture complex scenarios, applied to applications in disparate domains, and used to run multiscale simulations on any desktop, cluster or supercomputing platform.
Databáze: OpenAIRE
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