在内存并行计算的memristive横条数组中展示一种新的多数逻辑
Moon Gu Choi1, Jae Hyun In1, Hanchan Song1
1Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea. km.kim@kaist.ac.kr.
Materials horizons
|October 22, 2024
概括
本研究介绍了用于记忆计算的可靠的三输入多数逻辑门,可实现高效的内存布尔运算和克服数据瓶. 新的设计实现了高的时空效率,用于复杂的计算,如加法.
科学领域:
- 材料科学 材料科学 材料科学
- 计算机工程 计算机工程
- 纳米技术纳米技术
背景情况:
- 传统的·诺伊曼计算由于单独的内存和处理单元而面临数据瓶.
- 存储式横条数组为内存计算提供了潜力,但可靠性和效率挑战仍然存在.
研究的目的:
- 开发一个通用,可靠和高效的三输入多数逻辑门,用于memristive逻辑内存系统.
- 展示门对复杂的算术运算的能力及其可扩展计算的潜力.
主要方法:
- 基于氧化 (HfO2) 的记忆阵列的制造,配有集成的连续电阻,以提高操作电压边际.
- 实现近内存布尔运算的三输入多数逻辑门.
- 实验验证使用制造的数组进行1位全加减运算的验证.
主要成果:
- 基于HfO2的记忆阵列显示了对大多数逻辑门的强大可靠性.
- 成功的实验证明了使用7个单元格的5个步骤的1位全加法和减法运算.
- 提出了一种N位平行前加法 (PPA) 操作,可以在O(log2N) 步骤中实现,在64位加法中显示出比基于NOR的系统空间时间效率8.5倍的高.
结论:
- 开发的三输入多数逻辑门是一种通用门,可以提高内存逻辑应用程序的可靠性和效率.
- 拟议的并行前添加器架构显著提高了时空效率,随着N的增加,性能可有利地扩展.
- 这项工作通过解决运营性能和可扩展性的关键挑战,推动了记忆计算的实际实施.
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