PARALUTION is a library for sparse iterative methods with special focus on multi-core and accelerator technology such as GPUs. The software provides fine-grained parallel preconditioners which can utilize the modern multi-/many-core devices.
This paper presented a computational methodology to carry out three-dimensional, massively parallel Smoothed Particle Hydrodynamics (SPH) simulations across multiple GPUs
The MicroCFD Virtual Wind Tunnel, Educational & Professional Edition, has recently been upgraded. The new version (1.8) supports multi-core CPUs and CUDA core GPUs and runs significantly faster than the previous single-processor version.
Alya Red is a project of the Barcelona Supercomputing Center for simulating a human heart. The project is an integrative collaboration action with medical doctors, bioengineers and computational mechanics researchers from several countries.
On Wednesday, October 3 at 9:00 a.m. PDT , Dr. Alan Gray, University of Edinburgh, will present Scaling Soft Matter Physics to a Thousand GPUs and Beyond and will share his team’s experiences in scaling the “Ludwig” lattice Boltzmann fluid dynamics application on the Cray XK6 hybrid supercomputer.
This paper presents the results of comparing a Lagrangian vortex method with a trusted spectral method for the simulation of isotropic fluid turbulence. The numerical engine of the vorticity-based fluid solver is a massively parallel fast multipole method running on GPU hardware using CUDA.
By studying many current GPU computing applications, we have learned that the limits of an application’s scalability are often related to some combination of memory bandwidth saturation, memory contention, imbalanced data distribution, or data structure/algorithm interactions.
The development of automatic techniques to port a substantial portion of FEFLO, a general-purpose legacy CFD code operating on unstructured grids, to run on GPUs is described. FEFLO is a typical adaptive, edge-based finite element code for the solution of compressible and incompressible flows, which is primarily written in Fortran 77
Now, your OpenFOAM simulations on GPU can be up to 3.5x faster compared to CG and DIC/DILU preconditioners on CPU and up to 1.6x faster if you run GAMG.
This Summer School will provide an introduction to a new dataflow approach for accelerating computation