SHF: Small: RUI: Collaborative Research: Accelerators To Applications - Supercharging the Undergraduate Computer Science Curriculum

SHF：小型：RUI：协作研究：应用加速器 - 增强本科计算机科学课程

• 批准号: 0915805
• 负责人: Eric Stahlberg
• 金额: $ 19.03万
• 依托单位: Wittenberg University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0915805&HistoricalAwards=false
• 关键词: SHF; Small; RUI; Collaborative; Research

The project integrates graduate research activities in hybrid, accelerated computing applications with undergraduate computer and computational science curricula, preparing undergraduates for graduate school and industry professions with application development experience in technologies essential to emerging high-performance computing and peta-scale systems. Curriculum enhancements across multiple computer science and engineering courses are investigated using real research activities to identify specific improvements needed at the undergraduate level. The research focuses on the use of leading accelerator technologies (multi-core CPUs, GPUs, and FPGAs) in real scientific computing challenges and translating the insights, concepts, and examples for use in undergraduate computer science and engineering instruction. The significance of pairing research investigations with curricular development affords the opportunity to bring real experiences into the undergraduate classroom. Research level investigations will help to characterize the unique inter-dependency of computer architectures and high-performance applications. The resources, strategies and examples created in this project are available to undergraduate programs across the country that wish to provide instruction on the next generation hardware and software environments. The project also reaches several underrepresented populations through outreach efforts at local high schools, regional HBCUs, and leverages existing REU programs.

该项目将混合、加速计算应用方面的研究生研究活动与本科计算机和计算科学课程相结合，为研究生和工业专业的本科生提供对新兴高性能计算和Peta规模系统至关重要的技术应用开发经验的准备。使用真实的研究活动来调查多门计算机科学和工程课程的课程改进，以确定在本科水平需要的具体改进。该研究的重点是在实际的科学计算挑战中使用领先的加速器技术(多核CPU、GPU和FPGA)，并翻译用于本科计算机科学和工程教学的见解、概念和示例。将研究调查与课程开发相结合的重要性为将真实经验带入本科生课堂提供了机会。研究水平的调查将有助于描述计算机体系结构和高性能应用程序之间独特的相互依存关系。本项目中创建的资源、策略和示例可供全国各地希望提供下一代硬件和软件环境指导的本科生使用。该项目还通过在当地高中、地区HBCU的外联努力接触到几个代表性不足的人口，并利用现有的REU方案。