Amid rapid technological advancements, the efficient optimization of software code assembly and compilation is paramount to the swift and reliable functioning of highperformance computing systems. This study investigates the potential for boosting code assembly speed by exploiting various computing architectures. The adopted methodology encompasses system analysis, examination of diverse computer system architectures, and the application of optimization and resource management techniques to enhance the assembly and compilation of program codes effectively. The paper delves into the evolution of computer architecture and underscores the importance of machine code, elucidating their impacts on IT development. Key areas of study include mobile object tracking, cache memory-based architectures, and GPU inference mechanisms for neural networks. The criticality of expertise, security, and contextual understanding when adopting these technologies is also emphasized. The findings from this study could catalyze the inception of novel code assembly technologies, thereby optimizing computing efficiency and expediting software development. Consequently, these advancements could diminish the time required for program creation and launch, thereby elevating industry productivity. The practical significance of this research stems from its potential application in accelerating code assembly.