Optimization of image processing algorithms via communication hiding in distributed processing systems

Real-time image processing is an important topic studied in the realm of computer systems. The task of real-time image processing is found in a wide range of applications, from multimedia systems to automobiles to military systems. Typically these systems require high throughput and low latency to perform at their required specifications. Therefore, hardware, software, and communications optimizations in these systems are very important factors in meeting these specifications. This thesis analyzes the implementation and optimization of a real-world image processing system destined for an aircraft environment. It discusses the steps of optimizing the software in the system, and then looks at how the system can be distributed over multiple processing nodes via functional pipelining. Next, the thesis discusses the optimization of interprocessor communication via communication hiding. Finally, it analyzes whether communication hiding is even necessary given today\u27s high-speed networking and communication interfaces