Performance Improvements for HClib with Work-Stealing Runtime
This release showcases performance enhancements for the HClib library through the integration of a custom work-stealing runtime implemented using Argobots.
Key Improvements:
Reduced Execution Time: The work-stealing runtime aims to improve the execution speed of asynchronous tasks within HClib by efficiently distributing workload across available threads. This can lead to significant performance gains, especially for CPU-bound tasks.
Improved Scalability: The work-stealing approach allows HClib to better utilize multi-core systems by dynamically balancing tasks among threads. This can be particularly beneficial for applications that involve a mix of task types.
Transparent Integration: The work-stealing runtime seamlessly integrates with existing HClib functionalities. You can leverage the benefits without modifying your HClib application code.
Getting Started
- Installation: Ensure you have the latest versions of HClib and Argobots installed (refer to their respective documentation).
- Usage: Mentioned in a separate README.md file in each corresponding Folder (Reports/*)