#multithreading

This C++ analytical library offers comprehensive data manipulation and analysis functions similar to Pandas and R data.frame, featuring extensive multithreading to efficiently process large datasets. It supports slicing, joining, merging, and grouping data, as well as executing statistical, financial, and machine learning algorithms. The library supports multiple-column sorting and custom algorithm implementations, making it versatile for different analytical needs. It includes a range of analytical algorithms from basic statistics to complex analyses like Fast Fourier transforms. Verified performance comparisons against Polars and Pandas highlight its consistency and speed.

Codon is a Python compiler that transforms code into native machine language, offering 10-100x speed improvements over standard Python and comparable performance to C/C++. It features native multithreading, multi-core, and GPU support while maintaining a syntax similar to CPython for ease of use. Its optimization framework further enhances performance, and it supports JIT compiling and interoperability with Python modules, enabling efficient execution of Python-compatible code.

Taskflow improves parallel programming by providing efficient task decomposition strategies with both regular and irregular compute patterns. It features work-stealing scheduling, conditional and heterogeneous tasking, and modular graph composition for optimal CPU-GPU performance. The built-in profiling tools enable workflow visualization and optimization, suitable for scientific computing and industrial applications. Many leaders in academia and industry utilize this system for advanced task graph computing.

This open-source project builds upon the rknpu2, using a thread pool to enable asynchronous RKNN model operations on RK3588/RK3588s, thus improving NPU utilization and inference speeds. The project incorporates relu activation function optimization for yolov5s models. Recent changes have resolved cmake pthread issues, added a nosigmoid branch for better performance with rknn_model_zoo models, and updated the NPU SDK to version 1.5.0. The project supports multi-threaded performance testing with OpenCV, and provides guidance for application deployment using the rkYolov5s.hpp.

Box2D delivers a versatile 2D physics engine that supports game development with features like robust collision detection, various physics effects, and extensive multithreading capabilities. Structured with a data-oriented approach in portable C17, it ensures cross-platform compatibility on Windows, Linux, and Mac. With OpenGL and imgui sample demonstrations, developers gain clear insights into its performance and functions. Compatible with the latest clang and gcc compilers, Box2D requires the most recent version of Visual Studio for effective compilation. The engine includes continuous physics support, diverse joint configurations, and multiple shape support per body, making it adaptable for developers seeking flexible physics integration.

KeyDB is an open-source database by Snap Inc. with multithreading and memory efficiency, offering features such as Active Replication and FLASH Storage. It is compatible with the Redis protocol and provides higher throughput on identical hardware. Community collaboration is fostered via Slack, documentation, and GitHub. Explore its architecture and advanced features in the roadmap.