The von Neumann architecture has been the status quo since the dawn of modern computing. Computers built on the von Neumann architecture are composed of an intelligent master processor (e.g., CPU) and dumb memory/storage devices incapable of computation (e.g., memory and disk). However, the skyrocketing data volume in modern computing is calling such status quo into question. The excessive amounts of data movement between processor and memory/storage in more and more real-world applications (e.g., machine learning and AI applications) have made the processor-centric design a severe power and performance bottleneck. The diminishing Moore's Law also raises the need for a memory-centric design, which is rising on top of the recent material advancement and manufacturing innovation to open a paradigm shift. By doing computation right inside or near the memory, the memory-centric design promises massive throughput and energy savings.

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客座社论：IEEE Transactions on Emerging Topics in Computing 以内存为中心的设计主题部分：内存处理、内存计算和实际应用的近内存计算

自现代计算诞生以来，冯诺依曼架构一直是现状。建立在冯诺依曼体系结构上的计算机由智能主处理器（如CPU）和不能计算的哑内存/存储设备（如内存和磁盘）组成。然而，现代计算中飞速增长的数据量正在质疑这种现状。在越来越多的实际应用程序（例如，机器学习和人工智能应用程序）中，处理器和内存/存储之间的大量数据移动已经使以处理器为中心的设计成为严重的功率和性能瓶颈。不断减弱的摩尔定律也提出了对以内存为中心的设计的需求，这种设计在最近的材料进步和制造创新的基础上兴起，开启了范式转变。