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Accelerating MATLAB Performance
book

Accelerating MATLAB Performance

by Yair M. Altman
December 2014
Intermediate to advanced
785 pages
29h 35m
English
Chapman and Hall/CRC
Content preview from Accelerating MATLAB Performance
320 Accelerating MATLAB
®
Performance
methods of the gpuArray object. When all GPU computations are done, the result is trans-
ferred to MATLAB workspace via the gather command:
out = gather(out);
It is important to understand the relation between the C-prototype of a CUDA kernel
and the input/output parameters supplied to the feval command. That is, when calling
[out1, out2] = feval(kernel, in1, in2, in3)
the inputs in1, in2, and in3 correspond to each of the input argument to the C function
within our CU le. The out1, out2 outputs store the values of the non-const pointer input
arguments to the C function after the CUDA kernel has been executed. ...
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Publisher Resources

ISBN: 9781482211290