首页> 外文OA文献 >Timing-Error Detection Design Considerations in Subthreshold: An 8-bit Microprocessor in 65 nm CMOS
【2h】

Timing-Error Detection Design Considerations in Subthreshold: An 8-bit Microprocessor in 65 nm CMOS

机译:次阈值中的时序误差检测设计注意事项:65 nm CMOS中的8位微处理器

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This paper presents the first known timing-error detection (TED) microprocessor able to operate in subthreshold. Since the minimum energy point (MEP) of static CMOS logic is in subthreshold, there is a strong motivation to design ultra-low-power systems that can operate in this region. However, exponential dependencies in subthreshold, require systems with either excessively large safety margins or that utilize adaptive techniques. Typically, these techniques include replica paths, sensors, or TED. Each of these methods adds system complexity, area, and energy overhead. As a run-time technique, TED is the only method that accounts for both local and global variations. The microprocessor presented in this paper utilizes adaptable error-detection sequential (EDS) circuits that can adjust to process and environmental variations. The results demonstrate the feasibility of the microprocessor, as well as energy savings up to 28%, when using the TED method in subthreshold. The microprocessor is an 8-bit core, which is compatible with a commercial microcontroller. The microprocessor is fabricated in 65 nm CMOS, uses as low as 4.35 pJ/instruction, occupies an area of 50,000 μm2, and operates down to 300 mV.
机译:本文介绍了第一个已知的能够在低于阈值的情况下运行的时序错误检测(TED)微处理器。由于静态CMOS逻辑的最小能量点(MEP)处于亚阈值以下,因此强烈希望设计可以在该区域工作的超低功耗系统。但是,亚阈值的指数依赖性要求系统具有过大的安全裕度或使用自适应技术的系统。通常,这些技术包括副本路径,传感器或TED。这些方法中的每一种都会增加系统的复杂性,面积和能源开销。作为一种运行时技术,TED是解决本地和全局变化的唯一方法。本文介绍的微处理器利用了可适应过程和环境变化的自适应错误检测顺序(EDS)电路。结果表明,在低于阈值的条件下使用TED方法时,微处理器的可行性以及节能高达28%。微处理器是8位内核,与商用微控制器兼容。该微处理器由65 nm CMOS制成,使用低至4.35 pJ /指令,占地50,000μm2,工作电压低至300 mV。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号