canUseGPU

验证支持GPU金宝app效果able for computation

Since R2019b

Syntax

tf = canUseGPU()

Description

tf= canUseGPU()returns a logical value indicating if there is a GPU available for computation. The function returns logical1(true) if there is a supported GPU available, a recent GPU driver is present, and Parallel Computing Toolbox™ is installed and licensed for use. Otherwise, the function returns logical0(false).

UsecanUseGPUto avoid executing code that requires a GPU if one is not available. Using a GPU requires Parallel Computing Toolbox and a supported GPU device. For information on supported GPUs, seeGPU Computing Requirements(Parallel Computing Toolbox).

Examples

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Check GPU Availability to Solve a System of Linear Equations

Solve a system of linear equations. Perform the calculation using a GPU if one is available; otherwise, use the CPU.

Create the data on the CPU.

N = 1000; A = rand(N); b = rand(N,1);

Transfer the matrixAto the GPU, if there is one available

tf = canUseGPU()

tf = 1

iftf A = gpuArray(A);end

Solve the system of linear equations.

x = A\b;

SinceAexists on the GPU, the solution is calculated on the GPU.

Version History

Introduced in R2019b