The enhancement of memory in Arithmetic Logic Units (ALUs) is a rapidly developing area of research within the field of computer engineering. ALUs are critical components of processors, responsible for performing arithmetic and logical operations in digital circuits. The growing demand for faster and more efficient computing systems has led researchers to focus on improving the memory performance of ALUs. This paper explores various techniques for enhancing the memory performance of ALUs, including cache memory, pipelining, and parallel processing. Cache memory involves storing frequently accessed data closer to the processor, reducing the time required for data retrieval. Pipelining divides the processing of instructions into smaller stages, allowing multiple instructions to be executed simultaneously. Parallel processing involves splitting data into smaller parts, which can be processed simultaneously on multiple processing units. Despite their benefits, these techniques have limitations and challenges, such as increased power consumption and complexity. The paper also proposes future research directions, such as the development of new algorithms and architectures for memory enhancement in ALUs. Overall, this research area is critical to the continued improvement of computing systems and has the potential to revolutionize the field of computer engineering.