What makes performing matrix multiplication using optimized libraries like so much faster than doing manually in 2 for loops?

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Assuming the same language is done for both, like C++’s <vector> and just a plain C++ implementation.

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Anonymous 0 Comments

Basically, you’re able to process chunks of the vector in parallel whereas a for loop explicitly performs the operation one input at a time.

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