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Lifetime Reliability Aware Microprocessors

Lifetime Reliability Aware Microprocessors
终生可靠性感知微处理器
批准号:
0541383
负责人:
Sarita Adve
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-03-01 至 2010-02-28

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中文摘要
翻译
寿命可靠性感知微处理器随着CMOS规模的不断扩大,越来越小的特征尺寸和不断增加的功率密度正在加速处理器中与磨损或老化相关的硬故障的发生。 目前较低级别的解决方案策略可能不足以解决这个寿命可靠性问题。这项研究提倡更高层次的,微架构的解决方案,处理器寿命的可靠性。这项工作的第一个组成部分是开发和验证微架构级别的模型,指标和工具,其中包括关键的故障机制及其扩展行为。第二个组成部分开发新的建筑解决方案的寿命可靠性问题,包括动态可靠性管理和选择性结构冗余。过去几十年来,CMOS技术扩展带来的性能优势推动了信息革命,几乎影响了社会的各个方面。本提案中解决的寿命可靠性问题是从CMOS缩放中看到持续效益的关键障碍之一。拟议的工作旨在开发一种全新的方法来解决这个问题,这将使满足所有处理器制造商的关键可靠性目标。这项工作是与IBM的研究人员合作进行的,他们将提供所需的工业专业知识以及技术转让的途径。
英文摘要
Lifetime Reliability Aware MicroprocessorsAs CMOS scaling continues, increasingly smaller feature sizes and increasing power densities are accelerating the onset of wear-out or aging-related hard failures in processors. Current lower-level solution strategies will likely be inadequate to address this lifetime reliability problem. This research advocates higher-level, microarchitectural solutions for processor lifetime reliability. The first component of this work is in the development and validation of microarchitecture-level models, metrics, and tools that incorporate key failure mechanisms and their scaling behavior. The second component develops novel architectural solutions for the lifetime reliability problem, including dynamic reliability management and selective structural redundancy. The performance benefits from CMOS technology scaling over the last several decades have enabled the information revolution that has affected virtually every aspect of society. The problem of lifetime reliability addressed in this proposal is one of the key impediments to seeing continued benefits from CMOS scaling. The proposed work seeks to develop a fundamentally new approach to address this problem that will enable meeting the reliability goals critical for all processor manufacturers. This work is in collaboration with researchers from IBM which will provide needed industrial expertise as well as a path for technology transfer.
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会议论文
Collaborative Research: PPoSS: LARGE: Scalable Specialization in Distributed Edge-Cloud Systems – The Extended Reality Case
CCRI: New: An Open End-to-End Extended Reality System Infrastructure: Enabling Domain-Specific Edge Systems Research
SHF: Medium: Software Engineering for Hardware Errors
SHF: Small: Hardware-Software Co-Designed Coherence: A Complete Coherence Solution for Performance-, Energy-, and Complexity-Efficiency
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