Does mkl_dcsrmm require row-major matrices?

Does mkl_dcsrmm require row-major matrices?

mkl_dcsrmm multiplies a CSR sparse matrix by a dense matrix, storing the result in a dense matrix.

From what I can tell, this function expects the B and C dense matrices to be in row-major order, as opposed to the column-major order used in most other BLAS routines. I've attached a test case which demonstrates that, given the same B and C inputs in the same format, mkl_dcsrmm produces completely different results than dgemm. dgemm calculates C = alpha*A*B + beta*C (as expected), but mkl_dcsrmm appears to calculate C' = alpha*A*B' + beta*C' instead.

This seems to make it very difficult to mix sparse functions with normal BLAS function. Must I transpose my matrices before and after using the sparse functions?

I tried using mkl_dcscmm instead, but it seems to do the same thing. In fact, I think that mkl_dcsrmm and mkl_dcscmm are identical except that they invert the meaning of the transa parameter.

Do all of the sparse matrix-matrix multiply functions expect the dense parts to be row-major? If so, what is the best practise for using these beside  traditional column-major BLAS functions?

(I've found that this question has been asked before, but not answered.)

4 posts / 0 nouveau(x)
Dernière contribution
Reportez-vous à notre Notice d'optimisation pour plus d'informations sur les choix et l'optimisation des performances dans les produits logiciels Intel.

Here's the test case.

Fichiers joints: 

Fichier attachéTaille
Télécharger mkl-dcsrmm-test.c1.81 Ko

I'm going to answer my own question.

There appears to some pretty important undocumented behavior in mkl_dcsrmm. (At least I can't find it documented anywhere!)

If the sparse matrix uses zero-based indexing (as indicated by the matdescra array) then mkl_dcsrmm assumes that the B and C matrices are row major. If the sparse matrix uses one-based indexing it assumes that the B and C matrices are column major.

I can easily change my sparse matrices to be one-based so that mkl_dcsrmm will work with column-major inputs.

The documentation at http://software.intel.com/sites/products/documentation/hpc/mkl/mklman/GU... really ought to explain this important detail. While you're fixing the doc, there are couple of places where it looks like "m-" has been replaced by an em dash (e.g. pntre(—1) should be pntre(m-1)). Also the description for 'c' is incorrect. It says "On entry, the leading..." but should say "On entry with transa= 'N' or 'n', the leading..."

Citazione:

Peter B. ha scritto:

(I've found that this question has been asked before, but not answered.)

It has been answered here http://software.intel.com/en-us/forums/topic/365430.

Connectez-vous pour laisser un commentaire.