潜行电流共享改善忆阻器记忆

Manjunath Shevgoor, Naveen Muralimanohar, R. Balasubramonian, Yoocharn Jeon
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引用次数: 31

摘要

一些存储器供应商正在追求不同类型的存储器单元,这些存储器单元可以提供高密度、非易失性、高性能和高耐用性。目前有几个正在进行的工作是用这些新的nvm构建主存储系统,以与传统的DRAM系统竞争。每个NVM都有自己的特点,需要新的微架构和内存访问协议。在这项工作中,我们的重点是忆阻器技术和固有的潜电流在忆阻器交叉棒阵列。在最先进的设计中,一次读取需要连续两次读取;第一个测量可以在第二次读取中从当前测量中剔除的背景潜流。本文介绍了一种机制来重用后台潜行电流测量为后续读取从同一列,从而引入“开列”语义忆阻器阵列访问。我们还研究了一些允许系统平衡并行性和局部性的数据映射策略。我们的结论是,平均而言,优先考虑局部性是更好的;与最先进的忆阻器基线相比,我们的最佳设计可使读取延迟提高20%,内存功耗降低26%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving memristor memory with sneak current sharing
Several memory vendors are pursuing different kinds of memory cells that can offer high density, non-volatility, high performance, and high endurance. There are several on-going efforts to architect main memory systems with these new NVMs that can compete with traditional DRAM systems. Each NVM has peculiarities that require new microarchitectures and protocols for memory access. In this work, we focus on memristor technology and the sneak currents inherent in memristor crossbar arrays. A read in state-of-the-art designs requires two consecutive reads; the first measures background sneak currents that can be factored out of the current measurement in the second read. This paper introduces a mechanism to reuse the background sneak current measurement for subsequent reads from the same column, thus introducing "open-column" semantics for memristor array access. We also examine a number of data mapping policies that allow the system to balance parallelism and locality. We conclude that on average, it is better to prioritize locality; our best design yields a 20% improvement in read latency and a 26% memory power reduction, relative to the state-of-the-art memristor baseline.
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