matlab 配置gpu,Type for MATLAB gpuArray

Description

mxGPUArray is an opaque C language type that allows a MEX function

access to the elements in a MATLAB gpuArray. Using the mxGPU API,

you can perform calculations on a MATLAB gpuArray, and return gpuArray

results to MATLAB.

All MEX functions receive inputs and pass outputs as mxArrays.

A gpuArray in MATLAB is a special kind of mxArray that represents

an array stored on the GPU. In your MEX function, you use mxGPUArray

objects to access an array stored on the GPU: these objects correspond

to MATLAB gpuArrays.

The mxGPU API contains functions that manipulate mxGPUArray objects.

These functions allow you to extract mxGPUArrays from input mxArrays,

to wrap output mxGPUArrays as mxArrays for return to MATLAB, to determine

the characteristics of the arrays, and to get pointers to the underlying

elements. You can perform calculations by passing the pointers to

CUDA functions that you write or that are available in external libraries.

The basic structure of a GPU MEX function is:

Call mxInitGPU to

initialize MathWorks GPU library.

Determine which mxArray inputs

contain GPU data.

Create mxGPUArray objects from

the input mxArray arguments, and get pointers to

the input elements on the device.

Create mxGPUArray objects to hold

the outputs, and get the pointers to the output elements on the device.

Call a CUDA function, passing it the device pointers.

Wrap the output mxGPUArray as an mxArray for

return to MATLAB.

Destroy the mxGPUArray objects

you created.

The header file that contains this type is mxGPUArray.h.

You include it with the line:

#include "gpu/mxGPUArray.h"