I need to run a matrix-vector multiplication 240000 times per second. The matrix is 5x5 and is always the same, whereas the vector changes at each iteration. The data type is float
. I was thinking of using some SSE (or similar) instructions.
I am concerned that the number of arithmetic operations is too small compared to the number of memory operations involved. Do you think I can get some tangible (e.g. > 20%) improvement?
Do I need the Intel compiler to do it?
Can you point out some references?
I would suggest using Intel IPP and abstract yourself of dependency on techniques
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