Collaborative Research: Establishing a Center for Hybrid Multicore Productivity Research

0934364马里兰大学巴尔的摩县分校；米尔顿·哈勒姆0934114佐治亚理工学院；大卫·贝德0934422加州大学圣地亚哥分校；谢尔顿·布朗这项提议的目的是启动一个新的i/ucrc“混合多核生产率研究”，专注于混合多核计算和并行处理算法的研究以及技术驱动的研究问题。拟建中心由UMBC牵头，地点设在佐治亚理工学院(GT)和加州大学圣地亚哥分校(UCSD)。拟建的中心计划开发、测试和优化计算密集型应用的原型。该中心的一个主要贡献将是在新的架构上实施原型应用程序和比较性能分析。该中心是提高高性能计算和计算机体系结构社区的知识所必需的。私人投资机构资质良好，获取资源的途径也很好。UMBC和GT的联合计算设施分别是目前可用的最大、最先进的基于Cell Broadband引擎的多核大学系统。随着这种新的混合型多核处理器技术的发展，拟议的中心将满足计算机行业的未来需求。拟建的中心将为教师和学生提供获得实践专业知识的独特机会，以解决气候预测、国防、生物医学信息学、3-D图形环境、金融和社会计算领域的各种实用、混合多核应用程序。该中心介绍了为增加任职人数不足群体的参与所作的努力，并计划在一个在线混合多核心知识库中公布研究和教育项目的结果。

0934364 University of Maryland, Baltimore County (UMBC); Milton Halem 0934114 Georgia Tech; David Bader 0934422 University of California, San Diego; Sheldon Brown The purpose of this proposal is to start a new I/UCRC "Hybrid Multicore Productivity Research (CHMPR)" with a focus on hybrid multicore computing and research on parallel processing algorithms as well as technology-driven research questions. The lead of the proposed Center is UMBC with site locations at Georgia Tech (GT) and the University of California, San Diego (UCSD). The proposed Center plans to develop, test, and optimize prototypes of computationally intensive applications. A key contribution of the Center will be the implementation of prototype applications on new architectures and comparative performance analysis. This Center is needed to advance knowledge both in high-performance computing as well as computer architecture communities. The PIs are well qualified and the access to resources is excellent. The combined computing facilities at UMBC and GT, respectively, are the largest most advanced Cell Broadband Engine based multicore university systems available today. The proposed Center will address the future needs of the computer industry as this new hybrid multicore processor technology evolves. The proposed Center will provide faculty and students the unique opportunity to gain hands-on expertise to address a wide variety of practical, hybrid multicore applications in areas of climate prediction, defense, biomedical informatics, 3-D graphic environments, finance and social computing. The Center has described efforts to increase participation of underrepresented groups, and there are plans to publish the results of research and education projects within an online Hybrid Multicore Knowledge Repository.