Create GPU CUDA kernel object from PTX and CU code
KERN = parallel.gpu.CUDAKernel(PTXFILE,CPROTO)
KERN
= parallel.gpu.CUDAKernel(PTXFILE,CPROTO,FUNC)
KERN = parallel.gpu.CUDAKernel(PTXFILE,CUFILE)
KERN
= parallel.gpu.CUDAKernel(PTXFILE,CUFILE,FUNC)
KERN = parallel.gpu.CUDAKernel(PTXFILE,CPROTO) and
KERN
= parallel.gpu.CUDAKernel(PTXFILE,CPROTO,FUNC) create a
CUDAKernel object that you can use
to call a CUDA kernel on the GPU. PTXFILE is the name of the file
that contains the PTX code, or the contents of a PTX file as a character vector; and
CPROTO is the C prototype for the kernel call that
KERN represents. If specified, FUNC must
be a character vector that unambiguously defines the appropriate kernel entry name
in the PTX file. If FUNC is omitted, the PTX file must contain
only a single entry point.
KERN = parallel.gpu.CUDAKernel(PTXFILE,CUFILE) and
KERN
= parallel.gpu.CUDAKernel(PTXFILE,CUFILE,FUNC) create a
kernel object that you can use to call a CUDA kernel on the GPU. In addition, they
read the CUDA source file CUFILE, and look for a kernel
definition starting with '__global__' to find the function
prototype for the CUDA kernel that is defined in PTXFILE.
For information on executing your kernel object, see Run a CUDAKernel.
If simpleEx.cu contains the following:
/*
* Add a constant to a vector.
*/
__global__ void addToVector(float * pi, float c, int vecLen) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx < vecLen) {
pi[idx] += c;
}
}and simpleEx.ptx contains the PTX resulting from compiling
simpleEx.cu into PTX, both of the following statements return
a kernel object that you can use to call the addToVector CUDA
kernel.
kern = parallel.gpu.CUDAKernel('simpleEx.ptx', ... 'simpleEx.cu'); kern = parallel.gpu.CUDAKernel('simpleEx.ptx', ... 'float *,float,int');
arrayfun | existsOnGPU | feval | gpuArray | reset