Travel: Workshop on Shared Infrastructure for Machine Learning Electronic Design Automation

旅行：机器学习电子设计自动化共享基础设施研讨会

• 批准号: 2310319
• 负责人: Jiang Hu
• 金额: $ 1万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-03-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2310319&HistoricalAwards=false
• 关键词: Travel; Workshop; Shared; Infrastructure; Machine

This award will cover the travel expenses for a workshop on shared infrastructure for development of Machine Learning (ML) tools for Electronic Design Automation (EDA). Although machine learning techniques have demonstrated their effectiveness in EDA applications and been adopted in industry, such developments face the bottleneck of tremendous data preparation cost. In addition, private infrastructures hinder the comparability and reproducibility of related results of research. This workshop will bring together related students, academic researchers, industrial experts and government officials to discuss the needs, challenges and solutions regarding shared infrastructure for Machine Learning for Electronic Design Automation and outline a roadmap for future action items. The workshop participants will include attendees from a diversity of population including women, and members of underrepresented groups. The workshop summary report will be disseminated for public consumption.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项奖励将用于支付为电子设计自动化(EDA)开发机器学习(ML)工具的共享基础设施研讨会的差旅费。虽然机器学习技术已经在EDA应用中证明了其有效性，并被工业采用，但这种发展面临着巨大的数据准备成本的瓶颈。此外，私营基础设施阻碍了相关研究成果的可比性和再现性。本次研讨会将汇集相关学生、学术研究人员、行业专家和政府官员，讨论电子设计自动化机器学习共享基础设施的需求、挑战和解决方案，并为未来的行动项目勾勒出路线图。讲习班的参加者将包括来自不同人口群体的与会者，包括妇女，以及代表人数不足的群体的成员。研讨会总结报告将分发给公众阅读。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。