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

该项目将混合加速计算应用的研究生研究活动与本科计算机和计算科学课程相结合，为研究生院和工业专业的本科生做好准备，使他们具备新兴高性能计算和千万亿级系统所必需的技术的应用开发经验。通过真实的研究活动，研究了多个计算机科学和工程课程的课程改进，以确定本科阶段需要的具体改进。该研究的重点是在真实的科学计算挑战中使用领先的加速器技术（多核cpu， gpu和fpga），并将见解，概念和示例转化为本科计算机科学和工程教学中的使用。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赖性。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课程使用。该项目还通过在当地高中、地区hbcu的推广工作，以及利用现有的REU项目，覆盖了一些代表性不足的人群。

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.