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I tried it out and compared it to C++ at the last release. Here was what I found: https://github.com/dsharlet/mojo_comments

Some of the issues I pointed out there are pretty low hanging fruit for LLVM, so they may have improved a lot in more current releases.

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I skimmed your post and I wonder if mojo is focusing on such small 512x512 matrices? What is your thinking on generalizing your results for larger matrices?

I think for a compiler it makes sense to focus on small matrix multiplies, which are a building block of larger matrix multiplies anyways. Small matrix multiplies emphasize the compiler/code generation quality. Even vanilla python overhead might be insignificant when gluing small-ish matrix multiplies together to do a big multiply.

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