MEX file running slower than native MATLAB code.

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Ubaid Ullah
Ubaid Ullah 2015-7-3
评论： Ubaid Ullah 2015-7-4
Hello
I have the following code:
spmd
sum_gammaXmom = g{1}*gamma(1);
for mm = 2:d.mom
sum_gammaXmom = sum_gammaXmom + g{mm}*gamma(mm);
end
w_exp_sum_gammaXmom = bsxfun(@times,exp(sum_gammaXmom),d.scale);
denom = sum(w_exp_sum_gammaXmom,2);
weight = bsxfun(@rdivide,w_exp_sum_gammaXmom,denom);
gtilde = zeros(length(denom),d.mom);
for mm = 1:d.mom
gtilde(:,mm) = sum(g{mm}.*weight,2);
end
end
The variable 'g' is of composite type and has data for different worker labs, where 'g' variable contains a cell array of double matrices. To speed up the execution, I converted the two loops into MEX files and compiled with gcc compiler. Strangely, my MEX file runs slower than MATLAB native code written above. Is this because both the first and second loops take in 'g' which is a cell array, rather than a 3D matrix?
The wrapper with MEX code is as follows:
spmd
sum_gammaXmom = give_gtilde_spmd_loop1(g, d.mom, gamma);
w_exp_sum_gammaXmom = bsxfun(@times,exp(sum_gammaXmom),d.scale);
denom = sum(w_exp_sum_gammaXmom,2);
weight = bsxfun(@rdivide,w_exp_sum_gammaXmom,denom);
gtilde = give_gtilde_spmd_loop2(g, d.mom, weight);
end
give_tilde_spmd_loop1.c is as follows:
#include <math.h>
#include <matrix.h>
#include <mex.h>
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
void mexFunction(int nlhs, mxArray *plhs[],
int nrhs, const mxArray *prhs[])
{
const mwSize *dims;
const mxArray *cell;
const mxArray *cellArray;
double *pr;
double *gamma;
double *sum_gammaXmom;
int mom, cellSize, nnz;
bool issparse;
mwIndex i, j, k, count, jcell,*ir, *jc;
mwSize ncol, nrow;
cell = prhs[0];
dims = mxGetDimensions(prhs[0]);
mom = (int)mxGetScalar(prhs[1]);
gamma = mxGetPr(prhs[2]);
if(mom>dims[0]) mexErrMsgTxt("d.mom variable exceeds g cell array size.");
jcell = 0;
cellArray = mxGetCell(prhs[0], jcell);
cellSize = mxGetNumberOfElements(prhs[0]);
nrow = mxGetM(cellArray);
ncol = mxGetN(cellArray);
pr = mxGetPr(cellArray);
plhs[0] = mxCreateDoubleMatrix(nrow, ncol, mxREAL);
sum_gammaXmom = mxGetPr(plhs[0]);
count = 0;
for(j=0;j<(ncol*nrow);j++) sum_gammaXmom[j] = 0;
for (jcell=0; jcell<mom; jcell++) {
cellArray = mxGetCell(prhs[0], jcell);
issparse = mxIsSparse(cellArray);
if(issparse) {
ir = mxGetIr(cellArray);
pr = mxGetPr(cellArray);
jc = mxGetJc(cellArray);
for(j=0;j<ncol;j++) {
nnz = jc[j+1] - jc[j];
for(k=0;k<nnz;k++) {
sum_gammaXmom[ir[jc[j]+k]+j*nrow] += pr[jc[j]+k]*gamma[jcell];
}
}
}
else{
pr = mxGetPr(cellArray);
for(j=0;j<(nrow*ncol);j++) {
sum_gammaXmom[j] += pr[j]*gamma[jcell];
}
}
}
}
give_tilde_spmd_loop2.c is as follows:
#include <math.h>
#include <matrix.h>
#include <mex.h>
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
void mexFunction(int nlhs, mxArray *plhs[],
int nrhs, const mxArray *prhs[])
{
const mwSize *dims;
const mxArray *cell;
const mxArray *cellArray;
double *pr;
double *weight;
double *sum_gammaXmom;
int mom, cellSize, nnz;
bool issparse;
mwIndex i, j, k, count, jcell,*ir, *jc;
mwSize ncol, nrow;
cell = prhs[0];
dims = mxGetDimensions(prhs[0]);
mom = (int)mxGetScalar(prhs[1]);
weight = mxGetPr(prhs[2]);
if(mom>dims[0]) mexErrMsgTxt("d.mom variable exceeds g cell array size.");
jcell = 0;
cellArray = mxGetCell(prhs[0], jcell);
cellSize = mxGetNumberOfElements(prhs[0]);
nrow = mxGetM(cellArray);
ncol = mxGetN(cellArray);
pr = mxGetPr(cellArray);
plhs[0] = mxCreateDoubleMatrix(nrow, mom, mxREAL);
sum_gammaXmom = mxGetPr(plhs[0]);
count = 0;
for(j=0;j<(mom*nrow);j++) sum_gammaXmom[j] = 0;
for (jcell=0; jcell<mom; jcell++) {
cellArray = mxGetCell(prhs[0], jcell);
issparse = mxIsSparse(cellArray);
if(issparse) {
ir = mxGetIr(cellArray);
pr = mxGetPr(cellArray);
jc = mxGetJc(cellArray);
for(j=0;j<ncol;j++) {
nnz = jc[j+1] - jc[j];
for(k=0;k<nnz;k++) {
sum_gammaXmom[ir[jc[j]+k]+jcell*nrow] += pr[jc[j]+k]*weight[ir[jc[j]+k]+j*nrow];
}
}
}
else{
pr = mxGetPr(cellArray);
for(i=0;i<nrow;i++) {
for(j=0;j<ncol;j++){
sum_gammaXmom[i+jcell*nrow] += pr[i+j*nrow]*weight[i+j*nrow];
}
}
}
}
}

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