Parallel-hashmap is a header-only C++ library that provides fast and memory-efficient hashmap and btree container implementations.
The library addresses the need for high-performance associative containers in C++ that minimize memory overhead while maintaining speed across single-threaded and multi-threaded workloads. It achieves this through careful implementation of hash tables and B-tree data structures designed to reduce memory fragmentation and improve cache locality. The header-only design allows developers to integrate the containers directly into their projects without separate compilation or linking steps.
Developers should consider this library when building performance-critical applications where both speed and memory efficiency matter. It suits projects that require drop-in replacements for standard unordered_map and unordered_set containers but with better memory characteristics. The library is particularly relevant for multi-threaded applications where concurrent access patterns benefit from its design, though it also provides advantages in single-threaded scenarios through improved memory layout and cache behavior.
The project shows consistent maintenance with regular updates addressing bug fixes and performance improvements. Development activity demonstrates responsiveness to user issues and pull requests, indicating active engagement with the user community. The codebase receives refinements to both the core container implementations and documentation, reflecting ongoing attention to code quality and usability.
