MATLAB PARALLEL COMPUTING TOOLBOX - S Uživatelská příručka stáhnout pdf (Strana 272)

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101

9 GPU Computing

9-14

Example: Run Your MATLAB Code

In this example, a small function applies correction data to an array of measurement

data. The function defined in the file myCal.m is:

function c = myCal(rawdata, gain, offst)

c = (rawdata .* gain) + offst;

The function performs only element-wise operations when applying a gain factor and

offset to each element of the rawdata array.

Create some nominal measurement:

meas = ones(1000)*3; % 1000-by-1000 matrix

The function allows the gain and offset to be arrays of the same size as rawdata, so that

unique corrections can be applied to individual measurements. In a typical situation, you

might keep the correction data on the GPU so that you do not have to transfer it for each

application:

gn = rand(1000,'gpuArray')/100 + 0.995;

offs = rand(1000,'gpuArray')/50 - 0.01;

Run your calibration function on the GPU:

corrected = arrayfun(@myCal,meas,gn,offs);

This runs on the GPU because the input arguments gn and offs are already in GPU

memory.

Retrieve the corrected results from the GPU to the MATLAB workspace:

results = gather(corrected);

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