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Systematic and Structural Methods for Post-Silicon Validation

Systematic and Structural Methods for Post-Silicon Validation
用于硅后验证的系统性和结构性方法
批准号:
RGPIN-2015-05312
负责人:
Nicolici, Nicola
金额:
$2.7万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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英文摘要
The difficulty of guaranteeing that electronic circuits and systems meet the stated or implied goals has been continuously increasing over the past decade. This is mainly due to the exponential dependence of the state space on the growing number of state elements, as well as the excessively large number of clock and power domains needed to facilitate performance improvements under power and energy constraints. Pre-silicon verification is commonly employed to ensure the consistency between the design and its specification. Before tapeout what can be measured is limited by the simulation time and accuracy, and designs are released for manufacturing when the confidence level is deemed sufficient. Manufacturing test is focused on screening for physical defects in each fabricated device; considering that its reference is the design implementation, manufacturing test is not concerned with finding and identifying subtle design errors (or bugs) that have escaped to silicon prototypes. Thus the verification tasks employed during the pre-silicon phase continue on these early silicon prototypes, a term commonly referred to as post-silicon validation.
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Fault-Tolerant Computing for Machine Learning Applications
  • 批准号:
    RGPIN-2020-06884
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2022
  • 负责人:
    Nicolici, Nicola
  • 依托单位:
Fault-Tolerant Computing for Machine Learning Applications
  • 批准号:
    RGPIN-2020-06884
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2021
  • 负责人:
    Nicolici, Nicola
  • 依托单位:
Fault-Tolerant Computing for Machine Learning Applications
  • 批准号:
    RGPIN-2020-06884
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2020
  • 负责人:
    Nicolici, Nicola
  • 依托单位:
Systematic and Structural Methods for Post-Silicon Validation
  • 批准号:
    RGPIN-2015-05312
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.7万
  • 财政年份:
    2019
  • 负责人:
    Nicolici, Nicola
  • 依托单位:
国内基金
海外基金
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位: