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Using MATLAB Functions on Codistributed Arrays

Many functions in MATLAB software are enhanced or overloaded so that they operate on codistributed arrays in much the same way that they operate on arrays contained in a single workspace.

A few of these functions might exhibit certain limitations when operating on a codistributed array. To see if any function has different behavior when used with a codistributed array, type

help codistributed/functionname

For example,

help codistributed/normest

The following table lists the enhanced MATLAB functions that operate on codistributed arrays.

Type of Function Function Names
Data functionscumprod, cumsum, fft, max, min, prod, sum
Data type functionscast, cell2mat, cell2struct, celldisp, cellfun, char, double, fieldnames, int16, int32, int64, int8, logical, num2cell, rmfield, single, struct2cell, swapbytes, typecast, uint16, uint32, uint64, uint8
Elementary and trigonometric functionsabs, acos, acosd, acosh, acot, acotd, acoth, acsc, acscd, acsch, angle, asec, asecd, asech, asin, asind, asinh, atan, atan2, atand, atanh, ceil, complex, conj, cos, cosd, cosh, cot, cotd, coth, csc, cscd, csch, exp, expm1, fix, floor, hypot, imag, isreal, log, log10, log1p, log2, mod, nextpow2, nthroot, pow2, real, reallog, realpow, realsqrt, rem, round, sec, secd, sech, sign, sin, sind, sinh, sqrt, tan, tand, tanh
Elementary matricescat, diag, eps, find, isempty, isequal, isequalwithequalnans, isfinite, isinf, isnan, length, ndims, size, tril, triu
Matrix functionschol, eig, lu, norm, normest, svd
Array operationsall, and, any, bitand, bitor, bitxor, ctranspose, end, eq, ge, gt, horzcat, ldivide, le, lt, minus, mldivide, mrdivide, mtimes, ne, not, or, plus, power, rdivide, subsasgn, subsindex, subsref, times, transpose, uminus, uplus, vertcat, xor
Sparse matrix functionsfull, issparse, nnz, nonzeros, nzmax, sparse, spfun, spones
Special functionsdot

  

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