Alya: Multiphysics engineering simulation toward exascale

Alya is a multi-physics simulation code developed at Barcelona Supercomputing Center (BSC). From its inception Alya code is designed using advanced High Performance Computing programming techniques to solve coupled problems on supercomputers efficiently. The target domain is engineering, with all it...

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Detalhes bibliográficos
Autores: Vázquez, Mariano|||0000-0002-2526-6708, Houzeaux, Guillaume|||0000-0002-2592-1426, Koric, Seid, Artigues, Antoni, Aguado Sierra, Jazmin, Arís Sánchez, Ruth, Mira Martínez, Daniel, Calmet, Hadrien|||0000-0001-5443-761X, Cucchietti, Fernando|||0000-0002-9027-1263, Owen, Herbert, Taha, Ahmed, Dering Burness, Evan, Cela Espín, José M.|||0000-0002-0122-1468, Valero Cortés, Mateo|||0000-0003-2917-2482
Formato: artículo
Fecha de publicación:2016
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/102538
Acesso em linha:https://hdl.handle.net/2117/102538
https://dx.doi.org/10.1016/j.jocs.2015.12.007
Access Level:acceso abierto
Palavra-chave:Parallel programming (Computer science)
Computational geometry
Supercomputers
Multi-physics coupling
Parallelization
Computational mechanics
Programació en paral·lel (Informàtica)
Geometria computacional
Superordinadors
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
Descrição
Resumo:Alya is a multi-physics simulation code developed at Barcelona Supercomputing Center (BSC). From its inception Alya code is designed using advanced High Performance Computing programming techniques to solve coupled problems on supercomputers efficiently. The target domain is engineering, with all its particular features: complex geometries and unstructured meshes, coupled multi-physics with exotic coupling schemes and physical models, ill-posed problems, flexibility needs for rapidly including new models, etc. Since its beginnings in 2004, Alya has scaled well in an increasing number of processors when solving single-physics problems such as fluid mechanics, solid mechanics, acoustics, etc. Over time, we have made a concerted effort to maintain and even improve scalability for multi-physics problems. This poses challenges on multiple fronts, including: numerical models, parallel implementation, physical coupling models, algorithms and solution schemes, meshing process, etc. In this paper, we introduce Alya's main features and focus particularly on its solvers. We present Alya's performance up to 100.000 processors in Blue Waters, the NCSA supercomputer with selected multi-physics tests that are representative of the engineering world. The tests are incompressible flow in a human respiratory system, low Mach combustion problem in a kiln furnace, and coupled electro-mechanical contraction of the heart. We show scalability plots for all cases and discuss all aspects of such simulations, including solver convergence.