Hacker News with Generative AI: Performance Analysis

Two Parameter Model for Running Performance (normalizingconstant.com)
Human running performance from real-world big data is a super cool paper from 2020 that analyzes 14,000 people’s running activities.
Metal-benchmarks: Apple GPU microarchitecture (github.com/philipturner)
This document thoroughly explains the Apple GPU microarchitecture, focusing on its GPGPU performance. Details include latencies for each ALU assembly instruction, cache sizes, and the number of unique instruction pipelines. This document enables evidence-based reasoning about performance on the Apple GPU, helping people diagnose bottlenecks in real-world software. It also compares Apple silicon to generations of AMD and Nvidia microarchitectures, showing where it might exhibit different performance patterns.
Show HN: Xcapture-BPF – like Linux top, but with Xray vision (0x.tools)