Akademik Veri Yönetim Sistemi
The Emerging Technology (EMiT) Conference, Barcelona, İspanya, 2 - 03 Haziran 2016, ss.11-14
It is important to
deal with the computational challenges for bio-medical fluid flow simulations
and an OpenFOAM solver, icoFoam, for the large matrices coming
from the simulation of blood flow in arteries on different HPC clusters. The
flow problem produced various matrices as the time advances in simulation. In
this study we examined the behaviour of the solvers for ill-conditioned
matrices. We compared the CPU performance of the iterative solver icoFoam and the hybrid parallel codes
(MPI+OpenMP) of a direct solver SuperLU_DIST
4.0 (see [2]) at TGCC Curie (a Tier-0 system) thin nodes at CEA, France
(see [5]). Moreover, we compared the performance of the hybrid parallel codes
of MPI+OpenMP+CUDA versus MPI+OpenMP implementation of SuperLU_DIST 4.0 at TGCC Curie (a Tier-0 system) hybrid nodes of
CPU + GPU at CEA, France (see [5]). We discuss the performance, scalability and
robustness of OpenFOAM on GPGPU
cluster. We present our results regarding the speed-up of the solvers for the
large matrices of size up to 20 million x 20 million. The authors thank to
PRACE, GENCI and CEA for the opportunity to conduct our research in the frame
of the Project 2010PA2505 awarded under the 18th Call for PRACE Preparatory
Access.