Examining The Performance of Sense Amplifiers for In-Memory Computing Systems

The principle of in-memory computing offers a highly promising framework that may effectively tackle the discrepancy between memory and computing, leading to exceptionally fast and energy-efficient data processing. The sense amplifier serves a vital role in the realm of in-memory computer architectures. The effectiveness and energy efficiency of in-memory computing systems are heavily reliant on the suitability of their sense amplifiers. This paper offers a comprehensive insight into the main goal of pinpointing sense amplifiers designed specifically for in-memory computing applications. It involves an examination of the requisites and inherent challenges linked to in-memory computing. This encompasses various factors, such as delay, energy efficiency, and resilience to process changes. A careful examination was conducted to analyze the intricate trade-offs associated with power consumption, energy efficiency, and processing speed. The considerations play a pivotal function in providing designers with the essential knowledge and confidence to proficiently include sense amplifiers into diverse in-memory computing systems. This paper presents a systematic approach to selecting and constructing sense amplifiers to enhance our understanding of in-memory computing. We tailor our approach to match the distinct requirements of different inmemory computing applications. The results gained are anticipated to have a substantial influence on the progression of memory-centric computing systems in the forthcoming years.