Geoscience Applications on Petascale Systems: Requirements Workshops; Early in August-2005 for a 4-6 Weeks Period

Petascale 系统上的地球科学应用：需求研讨会；

• 批准号: 0540688
• 负责人: Volodymyr Kindratenko
• 金额: --
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0540688&HistoricalAwards=false
• 关键词: Geoscience; Applications; Petascale; Systems; Requirements

The project is a planning effort designed to develop a detailed analysis of the high-end computing requirements of geoscience research challenges and to share information on the implications, for geoscience research, of architectural trends in high-end computing system design. Through tele-conferences, workshops and outreach at professional meetings, the project will bring together geoscience modelers, computational scientists, and architecture experts from major high-end system and processor vendors. This planning effort is consistent with a recommendation for such an activity that emerged from a recent study, by members of the geoscience research community, of the scientific need for, and technical feasibility of, a petascale computing collaboratory for geoscience research. The anticipated consequences of this effort are: (i) the development of technical requirements that will be useful to groups acquiring high-end computing systems for geoscience research, and (ii) a stronger focus within the computational geosciences community on matching algorithm design to computational architecture design, leading eventually to increases in the ability of the geosciences community to make effective use of high-end computational resources.

该项目是一项规划工作，旨在详细分析地球科学研究挑战的高端计算要求，并分享高端计算系统设计的架构趋势对地球科学研究的影响。 通过电话会议、讲习班和专业会议的外联活动，该项目将汇集来自主要高端系统和处理器供应商的地球科学建模人员、计算科学家和建筑专家。 这一规划工作符合最近地球科学研究界成员对建立一个用于地球科学研究的千万亿次计算合作实验室的科学需要和技术可行性进行的一项研究中提出的开展这一活动的建议。 这一努力的预期结果是：（一）发展技术要求，这将是有用的团体获得高端计算系统的地球科学研究，和（二）在计算地球科学界更加注重匹配算法设计计算架构设计，最终导致地球科学界的能力提高，使高端计算资源的有效利用。