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Fat and Narrow matrix multiplication with "cblas_cgemm"

Hi, 

I am working with a matrix multiplication of sizes A = 40 x 40 and B is 40 x 10k with MKL support functions "cblas_cgemm". It is taking a 30 milliseconds,

I have enabled mkl multithreading also, which I belive it is more.

I have read in internet that "MKL functions are optimized for generic matrix multiplications".. 

Anybody agrees or disagrees with me.

 

Thanks in advance .

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Black Belt
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What is it that you want us to disagree with? It is quite plausible that there exists/existed some computer and some version of MKL with which the task that you stated took 30 ms to execute. Why is that worth discussing?

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