Vectorized Hardware Instructions Rule Everything Around Me, Actually

This site does not allow itself to be embedded. You can still read it on the original site — the toolbar below keeps your place in the directory.

Yesterday , I shared a rather lengthy post about various ways to optimize NumPy array operations with lower-level solutions. One of the findings was that a zipped Rust array could be faster than NumPy, but it depended on several factors: How many binary NumPy operations are you performing? NumPy performs an intermediate array allocation on each operation, so the more operations you can fuse into a…

Read on nrposner.com ↗