II-NEW: Collaborative Research: Image Processing Cloud (IPC): A Domain-Specific Cloud Computing Infrastructure for Research and Education

II-新：协作研究：图像处理云 (IPC)：用于研究和教育的特定领域云计算基础设施

• 批准号: 1205699
• 负责人: Lei Huang
• 金额: $ 34万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-01 至 2017-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1205699&HistoricalAwards=false
• 关键词: II; NEW; Collaborative; Research; Image

II-NEW: COLLABORATIVE: Image Processing Cloud (IPC): A Domain-Specific Cloud Computing Infrastructure for Research and EducationThe image processing domain is experiencing rapid increases in data size and algorithm complexity. These increases in data size and algorithm complexity demand large amounts of computing and storage power. However, modern computer architectures have evolved to be extraordinarily complex, and frequently become a challenge rather than a help for general researchers and educators who work in image processing technologies. In order to fill the gap between complicated modern architectures and complex applications, and to support the research and education of image processing, the PIs are developing an integrated image processing research environment within a computing Cloud infrastructure. This infrastructure includes: 1) an open image processing computing Cloud to support researchers and students to conduct image processing research, share knowledge and research results, and stimulate education materials among three universities: Prairie View A&M University, University of Houston, and University of Delaware; 2) a high-level domain specific language designed to provide an abstract and productive programming model for image processing applications; 3) a general compiler optimization framework with the capability to tune into image processing applications at various levels starting from high-level representations to low level transformations in the Cloud environment.

二-新：协作：图像处理云（IPC）：用于研究和教育的特定领域云计算基础设施图像处理领域正在经历数据大小和算法复杂性的快速增长。这些数据大小和算法复杂性的增加需要大量的计算和存储能力。然而，现代计算机体系结构已经发展到非常复杂，并且经常成为一个挑战，而不是帮助从事图像处理技术的一般研究人员和教育工作者。为了填补复杂的现代架构和复杂的应用之间的差距，并支持图像处理的研究和教育，PI正在开发一个集成的图像处理研究环境中的计算云基础设施。该基础设施包括：1）开放的图像处理计算云，支持研究人员和学生进行图像处理研究、共享知识和研究成果，并在三所大学之间激励教学材料：Prairie View& AM University、University of Houston和University of特拉华州; 2）高级领域特定语言，旨在为图像处理应用程序提供抽象且高效的编程模型; 3）通用编译器优化框架，具有在云环境中从高级表示到低级转换的各种级别上调谐到图像处理应用的能力。