Designing a Graphics Processing Unit with advanced Arithmetic logic unit resulting improved performance

Abstract

This paper explores microprocessor intricacies, particularly the central processing unit (CPU) and the graphics processing unit (GPU). The CPU, dubbed a computer's brain, features critical components like the Control Unit (CU), Arithmetic Logic Unit (ALU), and Memory Unit (MU), orchestrating instruction execution and system resource management. Contrarily, GPUs, initially for graphics rendering, now excel in parallel processing, aiding tasks beyond graphics. It compares CPU and GPU architectures, emphasizing their parallel processing and memory hierarchy. The graphics rendering pipeline's stages are delineated, illustrating 3D scene conversion to 2D images. GPU performance optimization methods, notably pipeline instructions, are discussed for significant performance enhancements, offering higher throughput, reduced latency, and improved efficiency. Through empirical evidence, it concludes pipeline instructions significantly boost GPU performance, advancing computing capabilities. This research illuminates pipeline instructions' pivotal role in GPU performance enhancement, driving modern computing advancement.