Collaborative Research: ITR: Mobile Supercomputing

合作研究：ITR：移动超级计算

• 批准号: 0325761
• 负责人: Chaitali Chakrabarti
• 金额: $ 16.18万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-10-15 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0325761&HistoricalAwards=false
• 关键词: Collaborative; Research; ITR; Mobile; Supercomputing

AbstractResearchers at The University of Michigan, Arizona State University, and Princeton Universitywill, during the next four years, explore core technologies for the next generation of computersystems, suitable for untethered pervasive computing. The requirements of the computing sub-stratein such devices is mind boggling, and so we have collected our research under the title ofMobile Supercomputing. We believe this phrase captures the need for the order-of-magnitudeincrease in performance need by such systems, while maintaining the minimal power budget thatis essential for mobile computing systems. The core technologies are a synergistic combination ofnovel co-design and circuit techniques that integrate into a generic platform architecture formobile supercomputing.The significance of this work for the user of tomorrows pervasive mobile computers will be thatthat they will provide a highly versatile light-weight computing and communication device withhands-free user interfaces such as speech recognition, gesture recognition, facial expression, andstreaming voice/video. This will allow the user to perform stand alone computing, communicatewith others in a number of ways, and provide a sophisticated portal to the internet and otherremote computing resources.

密歇根大学、亚利桑那州立大学和普林斯顿大学的研究人员将在未来四年内探索适用于无限制普适计算的下一代计算机系统的核心技术。这类设备对计算底层的需求令人难以置信，因此我们以移动超级计算为标题收集了我们的研究成果。我们相信，这个短语满足了这类系统在性能上的数量级增长的需要，同时保持了对移动计算系统至关重要的最低功率预算。核心技术是新的协同设计和电路技术的协同结合，这些技术集成到一个通用的移动超级计算平台架构中。这项工作对未来普遍存在的移动计算机的用户的重要意义将是，它们将提供一个高度通用的轻量级计算和通信设备，具有免提用户界面，如语音识别、手势识别、面部表情和流媒体语音/视频。这将允许用户执行独立的计算，以多种方式与他人通信，并提供通往互联网和其他远程计算资源的复杂门户。