Energy-Efficient Machine Learning for Mobile/Embedded Systems

适用于移动/嵌入式系统的节能机器学习

• 批准号: 2480917
• 金额: --
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2480917
• 关键词: Energy; Efficient; Machine; Learning; Mobile

This PhD student will join a newly established International Centre for Spatial Computational Learning http://spatialml.net. This is a close collaboration between the University of Southampton (UK), Imperial College London (UK), the University of California Los Angeles (USA), and the University of Toronto (Canada), as well as companies including Arm, Corerain Technologies, Imagination Technologies, Maxeler Technologies, and Xilinx. The candidate will be based in Southampton, but will have the opportunity to travel frequently to America to attend research meetings and for a placement period at either UCLA or Toronto. The PhD will undertake research in one or more of the following areas, related to hardware/software co-design for energy-efficient machine learning on mobile/embedded devices:Hardware design for machine learning/deep learningSoftware/algorithm development for machine learning/deep learningHardware/software co-design for improved performance/efficiencyEfficient software development for mobile/embedded systemsRun-time software adaptation for system resource management

该博士生将加入新成立的国际空间计算学习中心 http://spatialml.net。这是南安普顿大学（英国）、伦敦帝国学院（英国）、加州大学洛杉矶分校（美国）和多伦多大学（加拿大）以及 Arm、Corerain Technologies、Imagination Technologies、Maxeler Technologies 和 Xilinx 等公司之间的密切合作。候选人将驻扎在南安普顿，但将有机会经常前往美国参加研究会议，并在加州大学洛杉矶分校或多伦多进行实习。博士将在以下一个或多个领域进行研究，与移动/嵌入式设备上节能机器学习的硬件/软件协同设计相关：机器学习/深度学习的硬件设计机器学习/深度学习的软件/算法开发用于提高性能/效率的硬件/软件协同设计移动/嵌入式系统的高效软件开发系统资源管理的运行时软件适配