使内存中的真实记忆处理更快、更可靠

Shahar Kvatinsky
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引用次数: 3

摘要

记忆技术是取代传统存储技术的有吸引力的候选者,也可以使用一种称为“状态逻辑”的技术来执行逻辑和算术运算。“将数据存储和计算结合在存储器阵列中可以实现一种新颖的非冯·诺伊曼架构,其中两种操作都在记忆存储器处理单元(mMPU)中执行。”mMPU依赖于在不改变基本存储器阵列结构的情况下向记忆存储器单元添加计算能力。mMPU的使用减轻了对冯·诺依曼机器性能和能量的主要限制,即CPU和存储器之间的数据传输。本文讨论了mMPU的各个方面,包括其体系结构和对计算系统和软件的影响,以及对微体系结构方面的研究。我们展示了如何改进mMPU以加速不同的应用,以及如何作为mMPU操作的一部分改进忆阻器的低可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Making Real Memristive Processing-in-Memory Faster and Reliable
Memristive technologies are attractive candidates to replace conventional memory technologies, and can also be used to perform logic and arithmetic operations using a technique called ‘statefullogic.’ Combining data storage and computation in the memory array enables a novel non-von Neumann architecture, where both the operations are performed within a memristive Memory Processing Unit (mMPU). The mMPU relies on adding computing capabilities to the memristive memory cells without changing the basic memory array structure. The use of an mMPU alleviates the primary restriction on performance and energy in a von Neumann machine, which is the data transfer between CPU and memory. Here, the various aspects of mMPU are discussed, including its architecture and implications on the computing system and software, as well as examining the micro architectural aspects. We show how mMPU can be improved to accelerate different applications and how the poor reliability of memristors can be improved as part of the mMPU operation.
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