Data intensive parallel computing

数据密集型并行计算

• 批准号: 37238-2010
• 负责人: Wagner, AlanShelton
• 金额: $ 1.46万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=450713
• 关键词: Data; intensive; parallel; computing

The objective of the proposed research is to develop parallel programming tools and techniques for data intensive computation. Data intensive computing is the use of high performance computing techniques for the capturing, managing and analysis of large quantities of data. The proposed research is a combination of the design and implementation of new systems, system integration and the investigation of new parallel algorithms and techniques for cluster computing with multicore processors. The overall goal of this research is to apply parallel programming using the latest technologies to solve real-world problems associated with data intensive computation.

建议的研究的目标是开发并行编程工具和技术的数据密集型计算。数据密集型计算是使用高性能计算技术来捕获、管理和分析大量数据。建议的研究是一个新的系统，系统集成和新的并行算法和技术的集群计算与多核处理器的调查的设计和实施相结合。 本研究的总体目标是应用并行编程，使用最新的技术来解决与数据密集型计算相关的现实问题。