Nicolas R Posner
I am a data scientist and software engineer specializing in Python+Rust integration. I currently work at the Rose Center for Earth and Space optimizing astrophysical simulations and writing high-performance library code.
Session
Few of us come to scientific computing with an understanding of how to write a system kernel or build a transistor. But we often downplay the benefits of going just one or two layers of abstraction below our comfort zone, strengthening our foundations and expanding our options.
This talk explores the meaning, utility, and optimization of vectorized array operations, fundamental to NumPy, from Python bytecode down to x86 assembly. We'll build a physical intuition for how array operations work, when they turn out to be less performant than we might expect, and how to find the right balance between effort and performance for your needs.