High Performance Computing for Land Cover Dynamics

土地覆盖动态的高性能计算

• 批准号: 9318183
• 负责人: Larry Davis
• 金额: $ 296.57万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-09-01 至 2000-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9318183&HistoricalAwards=false
• 关键词: Performance; Computing; Land; Cover; Dynamics

9318183 Davis The Grand Challenge Application Groups competition provides one mechanism for the support of multidisciplinary teams of scientists and engineers to meet the goals of the High Performance Computing and Communications (HPCC) Initiative in Fiscal Year 1993. The ideal proposal provided not only the opportunity to achieve significant progress on (1) a fundamental problem in science or engineering whose solution could be advanced by applying high performance computing techniques and resources, or (2) enabling technologies which facilitate those advances but also significant interactions between scientific and computational activities, usually involving mathematical, computer or computational scientist, that would have impact in high performance computational activities beyond the specific scientific or engineering problem area(s) or discipline being studied. The investigators will study the application of high performance parallel computing to a class of scientifically important and computationally demanding problems in remote sensing- land cover dynamics problems including generating improved- fine spatial resolution data for the global carbon cycle, hydrological modeling and global ecological responses to climate changes and human activity. The research is collaborative, including scientist from the University of Maryland, University of Indiana, University of news Hampshire and NASA's Goddard Space Center. The award will combine research on -new analysis procedures for remotely sensed data -the integration of multispectral, multiresolution and multitemporal image data sets into a unified global data structure based on hierarchical data structures (i.e., quadtrees) -the utilization of these hierarchical, parallel data structures for the representation of spatial data (maps and products developed from image analysis) and the development of a spatial data base system with a sophisticate d query language that scientist can use to control the application of biophysical models to global data sets -run-time support for constructing scalable and parallel solutions to problems involving the manipulation of irregular data structures such as quadtrees -parallel l/O,especially novel methods for mapping large arrays and quadtrees onto parallel disks and disk systems, and for accessing them using low overhead bulk transfers The development work will be conducted on a 32 processor Connection Machine CM5, installed at the University of Maryland, and on an IBM SP1 which we propose to obtain as part of the program. This award is being supported by the Advanced Projects Research Agency as well as NSF programs in geological, biological, and computer sciences.

9318183戴维斯大挑战申请小组竞赛提供了一种机制，以支持多学科的科学家和工程师，以满足1993财政年度高性能计算和沟通（HPCC）倡议的目标的目标。理想的建议不仅为（1）在（1）在（1）应用于（1）高级技术的基本问题的情况下，不仅为（1）实现高级计算（1）高级计算（1）实现（1）高级技术的机会（促进这些进步的技术，但通常涉及数学，计算机或计算科学家之间的科学和计算活动之间的显着相互作用，这些技术将影响超出特定科学或工程问题领域或研究学科的高性能计算活动。研究人员将研究高性能平行计算在遥感的科学重要和计算中要求的问题中的应用 - 涵盖了动态问题，包括为全球碳循环，水文模型和对气候变化和人类活动的全球碳循环，全球生态响应的改进 - 精细的空间分辨率数据。这项研究是合作的，包括马里兰大学，印第安纳大学，新闻汉普郡大学和美国宇航局的戈达德太空中心的科学家。 The award will combine research on -new analysis procedures for remotely sensed data -the integration of multispectral, multiresolution and multitemporal image data sets into a unified global data structure based on hierarchical data structures (i.e., quadtrees) -the utilization of these hierarchical, parallel data structures for the representation of spatial data (maps and products developed from image analysis) and the development of a spatial data base system with科学家可以用来控制生物物理模型在全球数据集的应用中的应用 - 运行时间支持构建可扩展和平行的解决方案，以解决涉及操纵不规则数据结构的问题，以构建不规则数据结构的问题，例如Quadtrees -Paralallel L/O-诸如Quadtrees -paralallel L/O，尤其是在范围内绘制大型阵列的新颖方法，并使用平行的群众进行跨越型的启动，以供应越来越多的驱动器，以便访问越野的启动，以供应越来越多的群体，以供应到处乱逛，并访问越野的范围32个处理器连接机CM5，安装在马里兰大学，以及我们建议作为该计划的一部分获得的IBM SP1上。 该奖项得到了高级项目研究机构以及地质，生物学和计算机科学方面的NSF计划的支持。