Building a High-Performance Concurrent Map in Go

Learn how to design and implement a high-performance concurrent map in Go through this conference talk that addresses limitations in existing solutions like sync.Map and RWMutex-based built-in maps. Discover optimization techniques that enable up to 10x faster performance compared to sync.Map in common usage patterns involving 1% Delete, 9% Store, and 90% Load operations. Gain insights into creating concurrent data structures better suited for high-concurrency scenarios from speaker YunHao Zhang's technical deep dive presented at GopherCon 2024.