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.

该奖项将涵盖关于开发机器学习（ML）电子设计自动化工具（EDA）的共享基础架构研讨会的旅行费用。尽管机器学习技术已经证明了它们在EDA应用中的有效性并在行业中采用，但这种发展面临着巨大的数据准备成本的瓶颈。此外，私人基础设施阻碍了研究结果的可比性和可重复性。该研讨会将召集相关的学生，学术研究人员，工业专家和政府官员，讨论有关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，并概述了未来行动项目的路线图。研讨会的参与者将包括来自包括妇女在内的各种人群的参与者和代表性不足的团体成员。研讨会摘要报告将被传播以供公众消费。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评论标准来评估的。