Bridging the Gap between Academia and Industry: Workshop on Approximate Computing

弥合学术界和工业界之间的差距：近似计算研讨会

• 批准号: 1748047
• 负责人: Barzan Mozafari
• 金额: $ 5万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1748047&HistoricalAwards=false
• 关键词: Bridging; Gap; between; Academia; Industry

Despite its long and successful history in academic research, approximate computing has not become mainstream in commercial products. This award supports the organization of a workshop to bring together researchers and practitioners to brainstorm ideas for bridging the gap between the state-of-the-art research on approximate query processing and real-world use-cases for data science and cluster computing.The organization of this workshop has broader impacts on the related scientific research communities and the society at large. In the short term, this mutually-informative interaction will help academic research align its focus with real-world challenges, and will help practitioners learn about new opportunities made possible by approximate computing. In the long term, this workshop will also foster future collaborations and real-world adoptions.

尽管近似计算在学术研究中有着悠久而成功的历史，但在商业产品中尚未成为主流。该奖项支持组织一个研讨会，将研究人员和实践者聚集在一起，集思广益，弥合最先进的近似查询处理研究与数据科学和集群计算的实际用例之间的差距。本次研讨会的举办对相关科研团体和社会产生了广泛的影响。在短期内，这种相互信息的互动将有助于学术研究将其重点与现实世界的挑战结合起来，并将帮助从业者了解近似计算可能带来的新机会。从长远来看，该研讨会还将促进未来的合作和现实世界的采用。