Daniel Lemire presents techniques for building extremely fast lookup tables in C++ that can achieve billion queries per second. The approach leverages cache-friendly data structures and SIMD-optimized lookup strategies to minimize latency at scale.
Background
Daniel Lemire is a well-known computer scientist and performance engineer who frequently publishes on high-performance computing and algorithmic optimization techniques. Lookup table performance is a recurring topic in systems programming.
- Source
- Lobsters
- Published
- Oct 28, 2026 at 05:47 PM
- Score
- 7.0 / 10