COLLABORATIVE RESEARCH: TIMING VARIATION RESILIENT SIGNAL PROCESSING: HARDWARE-ASSISTED CROSS-LAYER ADAPTATION

合作研究：时序变化弹性信号处理：硬件辅助跨层自适应

• 批准号: 1319529
• 负责人: Adit Singh
• 金额: $ 20.5万
• 依托单位: Auburn University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1319529&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; TIMING; VARIATION; RESILIENT

In this research, a new vertically integrated cross-layer timing variation resilience methodology at the algorithm, microarchitecture and circuit levels, with "hardware-assistance" from the latter two levels is proposed. This addresses the effects of process variations and random delay defects in modern deeply scaled technologies as well as the effects of electrical bugs. At the highest level of the layer stack, the project considers algorithmic level workload adaptation as well as adaptation to intermittent errors in the underlying hardware due to low-power/high-speed pipeline and arithmetic unit operation. A key contribution of this research is a novel way to accurately determine when the logic and arithmetic units of pipeline stages have finished computation. This uses concepts from wave pipelined operation of logic circuits and allows activity completion detection within nearly a single or a few gate delays. Such completion sensing allows pipeline stages to "borrow" or "lend" time much more effectively than currently used synchronously clocked pipelines. In addition, backup error detection mechanisms allow the processor pipeline to operate reliably even when there is some kind of malfunction in the completion sensing circuitry. A vertically integrated control algorithm is used to modulate power vs. performance vs. timing error resilience at the circuit, microarchitecture and algorithm (video compression) levels to deliver the desired quality of service at the required video throughput with minimum power consumption. Through this research effort, the development of courses at GaTech in embedded DSP design and test, and yield management research under extreme process variations will be greatly facilitated. The PIs will develop a set of teaching materials on power management and error resilience in real-time digital signal processing systems. The PIs will make maximum effort to involve undergraduate students from the Summer Undergraduate Research Experience for minorities (SURE) program in the proposed research. It will also be possible to involve senior undergraduate project students in this research through targeted advisement. They will participate in H.O.T. Days@ Georgia Tech, a one-week long summer program designed to introduce high school students to electrical and computer engineering concepts. The key involvement will be in working with robots (LEGO Mindstorm, simple functions). Both Georgia Tech and Auburn University aggressively encourage participation of undergraduate students, as well as women and minorities in research. Auburn's participation in the project will also improve the research capabilities of Alabama, an EPSCOR state. Additionally, several master's students from the Historically Black Tuskegee University located near Auburn will take graduate courses at Auburn University. The best prepared among these students will be encouraged to join the project and Ph.D. programs at the participating universities. Thus, funding for this project will support the goals of recruiting more U.S. citizens, women and minorities to graduate programs.

本研究从算法、微体系结构和电路三个层面提出了一种新的垂直集成的跨层时序偏差恢复方法，并从后两个层面提供了硬件辅助。它解决了现代深度规模化技术中工艺变化和随机延迟缺陷的影响，以及电子错误的影响。在层堆栈的最高级别，该项目考虑算法级别的工作负载适应以及对底层硬件中因低功率/高速流水线和算术单元操作而产生的间歇性错误的适应。这项研究的一个关键贡献是提出了一种新的方法，可以准确地确定流水线级的逻辑和算术单元何时完成计算。这使用了来自逻辑电路的波形流水线操作的概念，并允许在几乎单个或几个门延迟内检测活动完成。这种完井感知允许流水线阶段比当前使用的同步计时流水线更有效地“借用”或“借出”时间。此外，备用错误检测机制允许处理器流水线即使在完成感测电路中存在某种故障时也能可靠地运行。垂直集成控制算法用于在电路、微体系结构和算法(视频压缩)级别调制功率、性能和定时错误恢复能力，以最小的功耗在所需的视频吞吐量下提供所需的服务质量。通过这项研究工作，将极大地促进GaTech在嵌入式DSP设计和测试方面的课程开发，以及极端工艺变化下的成品率管理研究。PIS将开发一套关于实时数字信号处理系统中的电源管理和容错能力的教学材料。PIS将尽最大努力让暑期本科少数民族研究体验(SURE)计划的本科生参与拟议的研究。通过有针对性的建议，也可以让高年级的本科项目学生参与到这项研究中来。他们将参加H.O.T.Days@佐治亚理工学院，这是一个为期一周的暑期项目，旨在向高中生介绍电气和计算机工程的概念。关键的参与将是与机器人的合作(乐高头脑风暴，简单的功能)。佐治亚理工学院和奥本大学都积极鼓励本科生以及女性和少数族裔参与研究。奥本参与该项目还将提高阿拉巴马州的研究能力，阿拉巴马州是EPSCoR的一个州。此外，奥本附近历史悠久的塔斯基吉黑人大学的几名硕士学生将在奥本大学攻读研究生课程。这些学生中准备得最好的人将被鼓励参加该项目和参与大学的博士项目。因此，该项目的资金将支持招募更多美国公民、妇女和少数族裔参加研究生课程的目标。