A GPU-accelerated high-order massively-parallel 3D Navier-Stokes solver has been developed for heart valve simulation. It is optimized for a Cray XC50 supercomputer by distributing the workload to different MPI processes and by offloading double-precision kernels to GPUs. The GPU kernels are written in CUDA C and are called by the FORTRAN legacy code. For a high-order finite-difference gradient kernel speedups of 5x (Tesla K20x) and 20x (Tesla P100) were achieved. In combination with 16 MPI threads on a single node of the Cray XC50, a peak speedup of 33x was achieved using CUDA MPS. Similar performance was also achieved for other differential operators, demonstrating the potential of GPU technology for bringing biomedical CFD to exascale co...
Graphical processing units (GPUs), characterized by significant computing performance, are nowadays ...
International audienceThis paper describes a hybrid multicore/GPU solver for the incompressible Navi...
The use of graphics hardware for general purpose computations allows scientists to enormously speed ...
Turbulent incompressible flows play an important role in a broad range of natural and industrial pro...
In this PhD thesis, we present our research in the domain of high performance software for computati...
Real-time fluid engineering simulations require significant computational power and high-resolution ...
AbstractIncreased levels of parallel CFD by utilizing graphical processing units (GPUs) in a high pe...
Graphics processor units (GPU) that are traditionally designed for graphics rendering have emerged a...
In this paper, the work that has been performed to extend the capabilities of the navis software, a ...
Graphics processor units (GPU) that are originally designed for graphics rendering have emerged as m...
The reliability of cardiovascular computational models depends on the accurate solution of the hemod...
Graphics processing units (GPUs) have a strong floating-point capability and a high memory bandwidth...
A parallel finite-volume CFD algorithm for modeling of incompressible flows on hybrid supercomputers...
A new high-performance general-purpose graphics processing unit (GPGPU) computational fluid dynamics...
DoctorComputational methods for GPU-accelerated solutions of incompressible and compressible Navier-...
Graphical processing units (GPUs), characterized by significant computing performance, are nowadays ...
International audienceThis paper describes a hybrid multicore/GPU solver for the incompressible Navi...
The use of graphics hardware for general purpose computations allows scientists to enormously speed ...
Turbulent incompressible flows play an important role in a broad range of natural and industrial pro...
In this PhD thesis, we present our research in the domain of high performance software for computati...
Real-time fluid engineering simulations require significant computational power and high-resolution ...
AbstractIncreased levels of parallel CFD by utilizing graphical processing units (GPUs) in a high pe...
Graphics processor units (GPU) that are traditionally designed for graphics rendering have emerged a...
In this paper, the work that has been performed to extend the capabilities of the navis software, a ...
Graphics processor units (GPU) that are originally designed for graphics rendering have emerged as m...
The reliability of cardiovascular computational models depends on the accurate solution of the hemod...
Graphics processing units (GPUs) have a strong floating-point capability and a high memory bandwidth...
A parallel finite-volume CFD algorithm for modeling of incompressible flows on hybrid supercomputers...
A new high-performance general-purpose graphics processing unit (GPGPU) computational fluid dynamics...
DoctorComputational methods for GPU-accelerated solutions of incompressible and compressible Navier-...
Graphical processing units (GPUs), characterized by significant computing performance, are nowadays ...
International audienceThis paper describes a hybrid multicore/GPU solver for the incompressible Navi...
The use of graphics hardware for general purpose computations allows scientists to enormously speed ...