GPU Computing

Transfer data between MATLAB^® and a graphics processing unit (GPU); run code on a GPU

You can use your computer's GPU for matrix operations. In many cases, execution on a GPU is faster than on the CPU, so the techniques described here might offer improved performance. For information about supported features and performance for GPU computing in Parallel Computing Toolbox™, see GPU Capabilities and Performance .

Functions

gpuArray	Create array on GPU
gather	Transfer distributed array or gpuArray to local workspace
existsOnGPU	Determine if gpuArray or CUDAKernel is available on GPU

gpuDevice	Query or select GPU device
gpuDeviceCount	Number of GPU devices present
gputimeit	Time required to run function on GPU
reset	Reset GPU device and clear its memory
wait (GPUDevice)	Wait for GPU calculation to complete

arrayfun	Apply function to each element of array on GPU
bsxfun	Binary singleton expansion function for gpuArray
pagefun	Apply function to each page of array on GPU

mexcuda	Compile MEX-function for GPU computation
parallel.gpu.CUDAKernel	Create GPU CUDA kernel object from PTX and CU code
feval	Evaluate kernel on GPU
setConstantMemory	Set some constant memory on GPU

C Functions

mxInitGPU

Initialize MATLAB GPU library on currently selected device

mxGPUCopyFromMxArray	Copy mxArray to mxGPUArray
mxGPUCopyGPUArray	Duplicate (deep copy) mxGPUArray object
mxGPUCopyImag	Copy imaginary part of mxGPUArray
mxGPUCopyReal	Copy real part of mxGPUArray
mxGPUCreateComplexGPUArray	Create complex GPU array from two real gpuArrays
mxGPUCreateFromMxArray	Create read-only mxGPUArray object from input mxArray
mxGPUCreateGPUArray	Create mxGPUArray object, allocating memory on GPU
mxGPUCreateMxArrayOnCPU	Create mxArray for returning CPU data to MATLAB with data from GPU
mxGPUCreateMxArrayOnGPU	Create mxArray for returning GPU data to MATLAB
mxGPUDestroyGPUArray	Delete mxGPUArray object
mxGPUGetClassID	mxClassID associated with data on GPU
mxGPUGetComplexity	Complexity of data on GPU
mxGPUGetData	Raw pointer to underlying data
mxGPUGetDataReadOnly	Read-only raw pointer to underlying data
mxGPUGetDimensions	mxGPUArray dimensions
mxGPUGetNumberOfDimensions	Size of dimension array for mxGPUArray
mxGPUGetNumberOfElements	Number of elements on GPU for array
mxGPUIsSame	Determine if two mxGPUArrays refer to same GPU data
mxGPUIsSparse	Determine if mxGPUArray contains sparse GPU data
mxGPUIsValidGPUData	Determine if mxArray is pointer to valid GPU data
mxIsGPUArray	Determine if mxArray contains GPU data

Classes

gpuArray	Array stored on GPU
GPUDevice	Graphics processing unit (GPU)
CUDAKernel	Kernel executable on GPU

C Classes

mxGPUArray

Type for MATLAB gpuArray

Examples and How To

Concepts

GPU Capabilities and Performance

Related Information

GPU System Requirements

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