CAREER: Understanding and Exploring Performance-Correctness Explicitly Decoupled Architecture

职业:理解和探索性能正确性显式解耦架构

基本信息

  • 批准号:
    0747324
  • 负责人:
  • 金额:
    $ 35万
  • 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
  • 起止时间:
    2008-06-01 至 2014-05-31
  • 项目状态:
    已结题

项目摘要

As processor microarchitecture has evolved over the past 30 years, both the complexity of the design and the number of transistors used in its realization have escalated. This complexity makes guaranteeing correct operation under all corner cases (logical as well as electrical) an ever more challenging task. This, in turn, translates in to higher and higher practical barriers for microarchitectural innovation for performance optimization as correctness is an overriding consideration. The goal of this CAREER proposal is to explore a new design model called Performance-correctness Explicitly-decoupled Architecture. From ground up, an explicitly-decoupled architecture is designed such that performance optimization circuitry is an independent entity separate from the circuitry guaranteeing functionality and correctness. This explicit separation allows performance optimization to be truly considered in a common-case-only manner, allowing the use of probabilistic techniques considered impractical or even incorrect in a conventional monolithic microarchitecture. This project seeks to develop insights to better understand this design model and develop complexity-effective microarchitectural and software mechanisms for performance optimization.
随着处理器微架构在过去30年的发展,设计的复杂性和实现中使用的晶体管数量都在不断增加。这种复杂性使得保证在所有极端情况下(逻辑和电气)的正确操作变得更加具有挑战性。这反过来又转化为性能优化微架构创新的越来越高的实际障碍,因为正确性是压倒一切的考虑因素。这个CAREER提案的目标是探索一种新的设计模型,称为性能正确性显式解耦架构。从底层开始,我们设计了一个显式解耦的架构,使性能优化电路成为一个独立的实体,与保证功能和正确性的电路分离。这种显式的分离使性能优化能够真正地以仅限通用情况的方式进行考虑,从而允许使用在传统的单片微体系结构中被认为不切实际甚至不正确的概率技术。该项目旨在开发洞察力,以更好地理解这种设计模型,并开发复杂性有效的微架构和软件机制,以实现性能优化。

项目成果

期刊论文数量(0)
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会议论文数量(0)
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Michael Huang其他文献

An Evaluation of Falls, Syncope, and Dizziness by Prolonged Ambulatory Cardiographic Monitoring in a Geriatric Institutional Setting
在老年机构环境中通过长时间动态心电图监测评估跌倒、晕厥和头晕
Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning
Ising-CF:通过高效 Ising 机器学习实现的开创性协同过滤方法
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zhuo Liu;Yunan Yang;Zhenyu Pan;Anshujit Sharma;Amit Hasan;Caiwen Ding;Ang Li;Michael Huang;Tong Geng
  • 通讯作者:
    Tong Geng
1550-nm wavelength-tunable HCG VCSELs
1550 nm 波长可调谐 HCG VCSEL
Reduction in New Onset Diabetes After Transplant (NODAT) with Erythropoietin-Stimulating Agents, a Case Control Study
  • DOI:
    10.1016/j.jcjd.2013.08.133
  • 发表时间:
    2013-10-01
  • 期刊:
  • 影响因子:
  • 作者:
    Tess Montada-Atin;Diana Choi;Minna Woo;Ravi Retnakaran;Michael Huang;Ramesh Prasad;Jeffrey S. Zaltzman
  • 通讯作者:
    Jeffrey S. Zaltzman
Performing Machine Learning Based Outlier Detection for Automotive Grade Products
对汽车级产品执行基于机器学习的异常值检测
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Y. L. Yang;P. Tsao;C. W. Lin;Ross Lee;Olivia Ni;T. T. Chen;Y. Ting;C. Lai;Jason Yeh;Arnold Yang;Wayne Huang;Peng Chen;Charly Tsai;Ryan Yang;Y. S. Huang;B. Hsu;M. Z. Lee;T. H. Lee;Michael Huang;Coming Chen;L. Chu;H. Kao;N. S. Tsai;Hsinchu Taiwan MediaTek Inc.
  • 通讯作者:
    Hsinchu Taiwan MediaTek Inc.

Michael Huang的其他文献

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{{ truncateString('Michael Huang', 18)}}的其他基金

FET: Small: Increasing Robustness, Efficacy, and Capability of CMOS-Compatible Electronic Ising Machines
FET:小型:提高 CMOS 兼容电子发射机的鲁棒性、效率和能力
  • 批准号:
    2233378
  • 财政年份:
    2023
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
ASCENT: Using Optical Frequency Comb for Ultrafast Nature-Based Computing for Machine Learning Algorithms
ASCENT:使用光学频率梳进行机器学习算法的超快基于自然的计算
  • 批准号:
    2231036
  • 财政年份:
    2022
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
CCF: Medium: Collaborative Research: SHF: Cascode: Supporting and Leveraging Voltage Stacking in Future Microprocessors
CCF:中:协作研究:SHF:共源共栅:支持和利用未来微处理器中的电压堆叠
  • 批准号:
    1514433
  • 财政年份:
    2015
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
XPS: EXPL: CCA: Optical Data Containers
XPS:EXPL:CCA:光学数据容器
  • 批准号:
    1533842
  • 财政年份:
    2015
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
Software Susceptibility-Driven Non-Uniform Memory Error Protection
软件敏感性驱动的非一致内存错误保护
  • 批准号:
    1255729
  • 财政年份:
    2013
  • 资助金额:
    $ 35万
  • 项目类别:
    Continuing Grant
CSR: Small: System Support for SSD-Backed Recoverable Network Applications
CSR:小型:对 SSD 支持的可恢复网络应用程序的系统支持
  • 批准号:
    1217372
  • 财政年份:
    2012
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
CSR: Small: Towards a Co-Designed Latency-Centric On-Chip Communication Substrate
CSR:小:迈向共同设计的以延迟为中心的片上通信基板
  • 批准号:
    1217662
  • 财政年份:
    2012
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
Collaborative Research: SMA: Accurate Temperature Measurement Infrastructure and Methodology for Power, Variability, and Reliability Analysis
合作研究:SMA:用于功率、可变性和可靠性分析的精确温度测量基础设施和方法
  • 批准号:
    0719790
  • 财政年份:
    2007
  • 资助金额:
    $ 35万
  • 项目类别:
    Continuing Grant

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