3D launch configuration for symmetry-reduced G-space loops (z dimension folded for real data sets) More...
#include <GpuKernelUtils.h>
Public Member Functions | |
template<typename GpuKernel > | |
GpuLaunchConfigHalf3D (GpuKernel *gpuKernel, vector3< int > S) | |
Just use the above after reducing the z-dimension to half. | |
Public Member Functions inherited from GpuLaunchConfig3D | |
template<typename GpuKernel > | |
GpuLaunchConfig3D (GpuKernel *gpuKernel, vector3< int > S) | |
Set up blocks and grid for a 1D operation over N data points. | |
Public Member Functions inherited from GpuLaunchConfig | |
template<typename GpuKernel > | |
GpuLaunchConfig (GpuKernel *gpuKernel) | |
Initialize the device and function properties. | |
Additional Inherited Members | |
Public Attributes inherited from GpuLaunchConfig3D | |
dim3 | nPerBlock |
dimension of block | |
dim3 | nBlocks |
dimension of grid (note nBlocks could be 3D for really large kernels) | |
int | zBlockMax |
Grids are 2D, so need to loop over last dim. | |
Public Attributes inherited from GpuLaunchConfig | |
cudaFuncAttributes | attr |
attributes of the function | |
3D launch configuration for symmetry-reduced G-space loops (z dimension folded for real data sets)