EHCS: Dynamic Vertically Integrated Power-Performance-Reliability Modulation in Embedded Digital Signal Processors
EHCS: Dynamic Vertically Integrated Power-Performance-Reliability Modulation in Embedded Digital Signal Processors
批准号:
0834620
负责人:
Adit Singh
金额:
$22.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-15 至 2012-08-31
中文摘要
严重的新技术挑战是阻碍微电子技术进步的障碍,因为技术的缩放遇到了材料性能和光刻的基本限制。随着微电子器件缩小到原子尺寸,现在可以观察到大的工艺变化和其他随机性能和功率限制缺陷。这就要求对电子设计中的模块级性能进行严格的保护,以确保适当的整体系统级功能,迫使系统在远低于底层设计结构固有能力的性能水平上运行。此外,嵌入式DSP系统必须设计成在由病态输入信号导致的最坏情况下工作。在未来的技术中,由于性能的提高和输入信号的可变性而带来的更宽的保护带可能会抵消扩展带来的大部分性能优势,从而阻碍Moore?s定律适用于嵌入式系统。在这种环境下,尽管存在这些不确定性,但只有当保护带可以控制在可接受的范围内时,引入新的缩放设备才具有成本效益。这仍然是一个主要的未解决的挑战,特别是对于嵌入式DSP处理器,必须同时优化系统级功率,性能和可靠性。为了解决这些问题,该项目正在开发测试、诊断和连续信号监测的概念,使静态(过程)和动态(输入信号)不确定性的动态电路架构-算法共调制(或共调谐)成为可能。在这种新的设计范式下,反馈驱动的重新配置控制机制涉及电路和软件(?调谐旋钮?)被设计到集成电路中,以支持功率性能权衡和可靠性恢复后制造。该研究追求垂直集成电路架构算法调优方法,提供比在设计层次的单个级别上执行的优化10倍的好处。生成的诊断信息用于动态优化(制造后)单个模块级行为,通过专门设计的硬件和软件控制机制优化系统级性能、功率和可靠性指标。通过这种方式,设计的每个实例都能适应在工艺变化和不利操作条件下所能达到的最大性能、功率和可靠性水平。从事该项目的研究生在这项多学科研究中接受独特的训练,该研究包括数字设计和测试,控制系统,嵌入式数字信号处理架构和算法等领域。学生们参加暑期实习项目。通过佐治亚理工学院、奥本大学和塔斯基吉大学的共同努力,该项目还积极支持招收更多美国公民、妇女和少数民族参加研究生课程的目标。
英文摘要
Serious new technical challenges are barriers to advances in microelectronics technology as technology scaling comes up against fundamental limits of material properties and lithography. Large process variations and other random performance and power constraining imperfections are now being observed as microelectronic devices are scaled down to atomic dimensions. This requires that module level performance in electronic designs be pessimistically guardbanded to ensure proper overall system level functionality, forcing systems to operate at performance levels far below the inherent capability of the underlying design fabric. In addition, embedded DSP systems must be designed to work under worst case operating conditions resulting from ill-conditioned input signals. Wider guardbands from increasing performance and input signal variability in future technologies can negate most of the performance benefits of scaling, stalling a key payoff from Moore?s Law for embedded systems. In such an environment, introduction of new scaled devices will be cost-effective only if the guardbands can be controlled down to acceptable margins, despite the presence of these uncertainties. This remains a major unsolved challenge, especially for embedded DSP processors that must be concurrently optimized for system level power, performance and reliability. To address these problems, this project is developing the concept of test, diagnosis and continuous signal monitoring enabled dynamic circuit-architecture-algorithm co-modulation (or co-tuning) for both static (procees) and dynamic (input signal) uncertainties. Under this new design paradigm, feedback driven reconfiguration control mechanisms involving circuitry and software (?tuning knobs?) are designed into the IC to support power-performance trade-off and reliability recovery post manufacture. The research pursues vertically integrated circuit-architecture-algorithm tuning methods that offer 10X benefits over optimizations performed at a single level of the design hierarchy. The diagnostic information generated is used to dynamically optimize (post-manufacture) individual module level behavior to optimize system level performance, power and reliability metrics via specially designed hardware and software control mechanisms. In this way, each instantiation of a design adapts to the maximum performance, power, and reliability levels it is capable of in the presence of process variations and adverse operating conditions. Graduate students working on the project receive a unique kind of training in this multidisciplinary research, which together the fields of digital design and test, control systems, embedded digital signal processing architectures, and algorithms. The students participate in summer internship programs with industry. Through joint efforts at Georgia Tech, Auburn University, and Tuskegee University, this project also actively supports the goals of recruiting more U.S. citizens, women and minorities to graduate programs.
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