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Download MATLAB PARALLEL COMPUTING TOOLBOX - S User`s guide
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Run Built-In Functions on a GPU atan2d atand atanh besselj bessely beta betainc betaincinv betaln bitand bitcmp bitget bitor bitset bitshift bitxor blkdiag bsxfun cart2pol cart2sph cast cat cdf2rdf ceil chol circshift cumprod cumsum del2 det diag diff disp display dot double eig eps eq erf erfc erfcinv erfcx erfinv exp expm1 eye factorial false fft fft2 fftn idivide ifft ifft2 ifftn ifftshift imag ind2sub Inf inpolygon int16 int2str int32 int64 int8 interp1 interp2 interp3 interpn inv ipermute isaUnderlying iscolumn isdiag isempty isequal isequaln log10 log1p log2 logical lt lu mat2str max median mean meshgrid min minus mldivide mod mode mpower mrdivide mtimes NaN ndgrid ndims ne nextpow2 nnz nonzeros polyvalm pow2 power prod psi qr rand randi randn rank rdivide real reallog realpow realsqrt rem repmat reshape rgb2hsv roots rot90 round sec secd sech shiftdim times toeplitz trace transpose trapz tril triu true typecast uint16 uint32 uint64 uint8 uminus unwrap uplus vander var vertcat xor zeros See the release notes for information about updates to individual functions. To get information about any restrictions or limitations concerning the support of any of these functions for gpuArray objects, type: help gpuArray/functionname For example, to see the help on the overload of lu, type help gpuArray/lu In most cases, if any of the input arguments to these functions is a gpuArray, any output arrays are gpuArrays. If the output is always scalar, it returns as MATLAB data in the workspace. If the result is a gpuArray of complex data and all the imaginary parts are zero, these parts are retained and the data remains complex. This could have an impact when using sort, isreal, etc. Example: Functions with gpuArray Input and Output This example uses the fft and real functions, along with the arithmetic operators + and *. All the calculations are performed on the GPU, then gather retrieves the data from the GPU back to the MATLAB workspace. 9-9
