High performance manual memory management for Go and TinyGo.
Rampant Pixel allocator. Extremely performant multi-threaded allocator that has the best overall performance of any major general purpose allocator. Destroys JEMalloc and TCMalloc in benchmarks at the cost of a little more memory use. Edges out mimalloc after 1 thread. The standard libc "malloc, free" are overridden with rpmalloc alternatives so any other C/C++/Rust code will automatically use rpmalloc.
Two-Level Segregated Fit real-time allocator for TinyGo. Simple compact constant time allocator for predictable real-time performance. Intended for TinyGo WASM, but works on other TinyGo platforms as well as Go.
libfuzzerCall in Go runtime for amd64 and arm64 architectures is utilized to dramatically reduce CGO cost by 1,000%+. On a 2019 MacBook Pro the overhead is reduced from 53.9ns to 2.9ns or (3.9ns via linked runtime.libfuzzerCall).
Building on top of highly capable allocators and low CGO costs, external high-performance C/C++ libraries are integrated. The goal is to build a high-quality collection of extremely performant native collections that utilize the system allocator.
- ART (Adaptive Radix Tree) (C)
- BTree (C)
- Robinhood HashMap (C++)
- LockFree Queue (Go)
These collections incur Zero GC cost.