Designing an Improved Intellectual Property Core Using Image Processing for Hetrogenous Architecture

The rapid evolution of heterogeneous computing demands optimized Intellectual Property (IP) cores for enhanced performance. This paper presents an improved IP core leveraging image processing techniques to optimize computational efficiency. The proposed design enhances processing speed and minimizes latency by utilizing parallelism and hardware acceleration. It integrates adaptive processing mechanisms and efficient data handling strategies. Optimized memory management further improves resource utilization and power efficiency. The architecture ensures scalability and seamless integration within heterogeneous environments. Performance evaluation demonstrates a significant reduction in computation time. Comparative analysis highlights superior efficiency over conventional IP cores. The design is tailored for real-time image processing applications. Hardware acceleration techniques improve processing throughput. The proposed approach ensures dynamic adaptability across diverse computing platforms. Implementation feasibility is validated through experimental results. Resource-efficient computation supports energy-conscious design goals. The improved IP core contributes to next-generation high-performance computing systems. This work advances IP core development for modern heterogeneous architectures.