MATLAB PARALLEL COMPUTING TOOLBOX 4 Guida Utente Scaricare il pdf (Pagina 48)

R2012b

6-2

More MATLAB functions enabled for GPUs, including convn, cov, and

normest

• “gpuArray Support” on page 6-2

• “MATLAB Code on the GPU” on page 6-2

gpuArray Support

The following functions are enhanced to support gpuArray data, or are expanded in their

support:

bitget

bitset

cond

convn

cov

issparse

mpower

nnz

normest

pow2

var

The following functions are not methods of the gpuArray class, but they now work with

gpuArray data:

blkdiag

cross

iscolumn

ismatrix

isrow

isvector

std

For complete lists of functions that support gpuArray, see Built-In Functions That

Support gpuArray.

MATLAB Code on the GPU

bsxfun now supports the same subset of the language on a GPU that arrayfun does.

GPU support is extended to include the following MATLAB code in functions called by

arrayfun and bsxfun to run on the GPU:

bitget

bitset

pow2

GPU-enabled functions in Neural Network Toolbox, Phased Array System

Toolbox, and Signal Processing Toolbox

A number of other toolboxes now support enhanced functionality for some of their

functions to perform computations on a GPU. For specific information about these other

1 2 ... 43 44 45 46 47 48 49 50 51 52 53 ... 127 128

Nessun commento

MATLAB PARALLEL COMPUTING TOOLBOX 4 Guida Utente Pagina 48