Modular: Understanding SIMD: Infinite Complexity of Trivial Problems
A deep dive into the complexities of optimizing code for SIMD instruction sets across multiple platforms.
Hasnain says:
TIL lots of fun optimization math
"Taking a look back at all of the hardware-specific optimizations, we can see an orders-of-magnitude improvement over our initial naive implementation and stock NumPy implementation. Utilizing and exploiting hardware features has delivered performance boosts from 10 MB/s to 60.3 GB/s on Intel hardware, and 4 MB/s to 29.7 GB/s on Arm hardware. It underscores the absolute importance that specialized hardware acceleration libraries have on even the simplest of computational algorithms."
Posted on 2024-11-30T06:07:52+0000