Computing Core

计算核心

• 批准号: 9081241
• 负责人: ZHE JIN
• 金额: $ 9.68万
• 依托单位: UNIV OF MARYLAND, COLLEGE PARK
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至 2018-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9081241
• 关键词: Address; Awareness; Characteristics; Computer software; Data; Data Analyses; Data Set; Databases; Directories; Faculty; Geographic Information Systems; Geography; Goals; High Performance Computing; Improve Access; Individual; Investments; Knowledge; Licensing; Link; Maryland; Memory; Occupations; Population; Population Research; Public Health Schools; Published Comment; Published Directory; Research; Research Infrastructure; Research Personnel; Research Support; Resources; Respondent; Schools; Secure; Services; Students; Surveys; System; Time; Universities; Work; behavioral/social science; college; cost effective; design; graduate student; improved; member; mid-career faculty; programs; response; simulation; web app

Computing Core. The Computing Core supports the research computing needs of MPRC-affiliated faculty and student researchers, as well as other MPRC Cores. In the summer of 2011, the Computing Core completed the transition to Windows Seven 64-bit desktops connected to the campus Active Directory. Over the years (2009, 2010, 2011), the Core also upgraded its core computational servers, which are used by graduate students and faculty for cpu- and memory-intensive jobs, and deployed several new servers with multiple cores and equipped with large amounts of memory for researchers who use large datasets and intensive simulations. The core has also virtualized many of its resources especially the servers used for secure datasets and individual faculty projects. The Core's significant challenge is to adequately address the issue of confidential datasets. In 2009, the secure confidential data enclave was expanded, and further expansion is planned in 2011-2012.

计算核心。计算核心支持MPRC附属教职员工和学生研究人员以及其他MPRC核心的研究计算需求。2011年夏天，计算核心完成了向连接到校园活动目录的Windows 7位台式机的过渡。多年来(2009， 在2010年和2011年)，核心还升级了其核心计算服务器，供研究生和教职员工用于CPU和内存密集型工作，并部署了几个新的具有多核和配备大量内存的服务器，供使用大型数据集和密集模拟的研究人员使用。核心有 还对其许多资源进行了虚拟化，特别是用于安全数据集和个别教员项目的服务器。核心的重大挑战是充分解决机密数据集的问题。2009年扩大了保密数据飞地，并计划在2011-2012年进一步扩大。