Warps, Memory Hierarchy, and Why Bandwidth Beats FLOPS : How GPUs Actually Work, Part 1
中文摘要
ML工程师GPU原理：解密带宽、内存与warp，带宽性能超FLOPS。
English Summary
This article provides a mental model of GPU hardware, explaining how warps, memory hierarchies, and bandwidth limitations impact performance for machine learning engineers beyond the CUDA API.
原文节选
A working mental model of GPU hardware for ML engineers who use these chips daily but have never traced what happens below the CUDA API Continue reading on Towards AI »