Green Tea GC: A Memory-Aware Approach to Boosting Go's Performance

The Go team is developing Green Tea, an experimental garbage collector designed to address performance bottlenecks of traditional garbage collection algorithms in multi-core systems and non-uniform memory architectures. Green Tea improves spatial and temporal locality by scanning contiguous memory blocks instead of individual objects, significantly reducing garbage collection CPU overhead. Initial evaluations show a 10-50% reduction in GC CPU costs on some GC-heavy workloads. Future work includes exploring SIMD acceleration and a concentrator network for further performance gains.