INVESTIGADORES
STORTI Mario Alberto
congresos y reuniones científicas
Título:
An efficient GPU solver for highly heterogeneous flows
Autor/es:
BESSONE, LUCAS; GAMAZO, PABLO; DENTZ, MARCO; STORTI M.; EZZATTI, PABLO; RAMOS, JULIÁN
Lugar:
Washington DC
Reunión:
Congreso; American Geophysical Union. Fall Meeting 2020; 2020
Institución organizadora:
American Geophysical Union
Resumen:
In this work, we present a simple, fully GPU-based implementation for solving an elliptical problem with highly jumping coefficients. The solver consists of a very simple and efficient implementation of the Cell Centered Multi Grid (CCMG) method used as a multi-level preconditioner in the Conjugate Gradient (PCG) method. The construction is carried out in the Finite Volume Method context on uniform Cartesian meshes. Unlike pure CCMG, this combination is more robust for these types of problems. Comparing with the PCG with the Semicorasening Multi Grid (SMG) preconditioner provided by Hypre interface in parallel CPU with 36 cores, we found a speedup of 7X for problems of size over 50 MCells using a single GPU Nvidia Tesla V100.
