This example shows how to identify and select a GPU for your computations.
To determine how many GPU devices are available in your computer, use the
gpuDeviceCount function.
gpuDeviceCount
2
When there are multiple devices, the first is the default. You can examine its
properties with the gpuDevice function to determine if that
is the one you want to use.
d = gpuDevice
d =
CUDADevice with properties:
Name: 'GeForce GTX 1080'
Index: 1
ComputeCapability: '6.1'
SupportsDouble: 1
DriverVersion: 9.2000
ToolkitVersion: 9
MaxThreadsPerBlock: 1024
MaxShmemPerBlock: 49152
MaxThreadBlockSize: [1024 1024 64]
MaxGridSize: [2.1475e+09 65535 65535]
SIMDWidth: 32
TotalMemory: 8.5899e+09
AvailableMemory: 7.0053e+09
MultiprocessorCount: 20
ClockRateKHz: 1733500
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 1
CanMapHostMemory: 1
DeviceSupported: 1
DeviceSelected: 1If d is the device you want to use, you can proceed. To run
computations on the GPU, use gpuArray enabled functions.
For more information, see Run MATLAB Functions on a GPU.
To use another device, call gpuDevice with the index of the
other device.
gpuDevice(2)
Establish Arrays on a GPU | GPU Capabilities and Performance | Measure and Improve GPU Performance | Run MATLAB Functions on a GPU