libcudacxx

Implements key C++ standard library components for CUDA device code, enabling developers to use familiar abstractions like containers and algorithms directly in GPU kernels, as stated in the key features.

Provides parallel algorithms and data structures optimized for NVIDIA GPU architectures, ensuring high performance for GPU-accelerated applications, based on the description of GPU-accelerated algorithms.

Designed to work alongside existing CUDA runtime APIs and host-side C++ code, facilitating easy integration into existing projects without major rewrites, as highlighted in the interoperability feature.

Implements C++11, C++14, and later standard features, allowing developers to write expressive and maintainable GPU code using contemporary C++ idioms, per the modern C++ support key feature.