Collaborative Research: Establishing a Center for Hybrid Multicore Productivity Research

马里兰州大学，巴尔的摩县（UMBC）;米尔顿哈勒姆0934114格鲁吉亚理工学院;大卫贝德0934422加州大学，圣地亚哥;谢尔顿布朗本提案的目的是启动一个新的I/UCRC“混合多核生产力研究（CHMPR）”，重点是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，地点位于格鲁吉亚理工学院（GT）和加州大学圣地亚哥分校（UCSD）。拟议中的中心计划开发，测试和优化计算密集型应用程序的原型。该中心的一个关键贡献将是在新的架构上实施原型应用程序和进行比较性能分析。该中心需要在高性能计算以及计算机架构社区推进知识。PI是合格的，获得资源是极好的。UMBC和GT的联合计算设施分别是当今最大最先进的基于Cell宽带引擎的多核大学系统。拟议中的中心将解决计算机行业的未来需求，因为这种新的混合多核处理器技术的发展。该中心将为教师和学生提供独特的机会，以获得实践专业知识，以解决气候预测，国防，生物医学信息学，3D图形环境，金融和社会计算领域的各种实用，混合多核应用。该中心介绍了为增加代表性不足群体的参与所作的努力，并计划在一个在线混合多核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.