User`s guide

11 Functions — Alphabetical List
11-222
parallel.gpu.CUDAKernel
Create GPU CUDA kernel object from PTX and CU code
Syntax
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)
Description
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 string; and CPROTO is the
C prototype for the kernel call that KERN represents. If specified, FUNC must be a string
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” on page 9-26.
Examples
If simpleEx.cu contains the following:
/*
* Add a constant to a vector.
*/
__global__ void addToVector(float * pi, float c, int vecLen) {