Dave, thank You very much for yours information. Really, I want to
know a theorical big-O algorithm, mainly to interact with sparce
matrix. We see every day a new technic computation growing world
information, but I not seen a new and revolutionary multiply matrix
algorithm that take less than O(n^2). Maby this not will exists, but
how can we use a parallel programming skills to better to make that
rotine ? Is this what I should like to know.

2010/12/8 Dave <dave_and_da...@juno.com>:
> Are you interested in actual computation speed or are you interested
> in theoretical big-O speed? If you want the fastest computation for a
> specific, reasonable-sized problem with no particular structure (i.e.,
> non-sparse), then using the ordinary matrix multiply algorithm that is
> coded the best will probably beat any theoretically-faster algorithm.
> You probably will find the fastest matrix-multiplication code in one
> of the sets of the so-called Basic Linear Algebra Subprograms (BLAS).
> Check out http://www.netlib.org/blas/faq.html, and especially 5)
> therein: http://www.netlib.org/blas/faq.html#5.
>
> Dave
>
> On Dec 8, 6:09 am, Luciano Junior <luciano....@gmail.com> wrote:
>> What is best multiply matrix algorithm for:
>>
>> -multiply a n x n matrix by another n x n matrix
>> -multiply a m x n matrix by a n x p matrix
>>
>> I need a best performance cpu algorithm.
>> Note: it can use a parallel programming concept.
>>
>> Thankfully.
>> ----------------------------------------
>> Luciano.
>
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-- 
----------------------------------------
Luciano Soares Pinheiro Jr.
Analista desenvolvedor Sr.

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