HRPF: A parallel programming framework for recursive algorithms on heterogeneous CPU–GPU systems

Key Points

• The framework enhances parallel programming capabilities with recursive algorithms, improving computational efficiency.
• Key evidence shows that HRPF significantly reduces execution time, especially for complex tasks involving large datasets.
• Analysis of heterogeneous systems comprising CPU and GPU resources highlights effective resource utilization.
• This approach may enable faster computational solutions, but external validation in real-world applications is necessary.