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Memristive Device Based Circuits for Computation-in-Memory Architectures

机译:用于存储器中计算架构的基于忆阻器件的电路

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Emerging computing applications (such as big-data and Internet-of-things) are extremely demanding in terms of storage, energy and computational efficiency, while todays architectures and device technologies are facing major challenges making them incapable to meet these demands. Computation-in-Memory (CIM) architecture based on memristive devices is one of the alternative computing architectures being explored to address these limitations. Enabling such architectures relies on the development of efficient memristive circuits being able to perform logic and arithmetic operations within the non-volatile memory core. This paper addresses memristive circuit designs for CIM architectures. It gives a complete overview of all designs, both for logic as well as arithmetic operations, and presents the most popular designs in details. In addition, it analyzes and classifies them, shows how they result in different CIM flavours and how these architectures distinguish themselves from traditional ones. The paper also presents different potential applications that could significantly benefit from CIM architectures, based on their kernel that could be accelerated.
机译:新兴的计算应用程序(例如大数据和物联网)对存储,能源和计算效率的要求非常高,而当今的体系结构和设备技术正面临着使其无法满足这些要求的重大挑战。基于忆阻设备的内存计算(CIM)体系结构是为解决这些局限性而正在探索的替代计算体系结构之一。实现这样的架构依赖于能够在非易失性存储内核中执行逻辑和算术运算的高效忆阻电路的开发。本文介绍了用于CIM架构的忆阻电路设计。它提供了所有设计的完整概述,包括逻辑和算术运算,并详细介绍了最受欢迎的设计。此外,它还对它们进行了分析和分类,显示了它们如何产生不同的CIM风格,以及这些体系结构如何与传统体系结构区分开。本文还基于可加速的内核,介绍了可从CIM架构中显着受益的各种潜在应用程序。

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