CAREER: Architectural Techniques and Tools for Adaptive Active Storage Systems

职业：自适应主动存储系统的架构技术和工具

• 批准号: 0643925
• 负责人: Sudhanva Gurumurthi
• 金额: $ 30.35万
• 依托单位: University of Virginia Main Campus
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-04-01 至 2013-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0643925&HistoricalAwards=false
• 关键词: CAREER; Architectural; Techniques; Tools; Adaptive

The ability to embed computation on the I/O path creates exciting possibilities for accelerating a wide spectrum of data intensive applications, ranging from content-based retrieval of images stored on a personal computer to fusion of massive geospatial datasets. The presence of processing power at the storage devices, coupled with the location of these devices in the system, also opens up the opportunity to provide storage-centric computing services that run directly on the I/O path. However, harnessing a large amount of processing power on the I/O path at a small energy cost requires extensive architectural support. This research project develops a storage-centric architecture in which the entire I/O path is treated as a programmable and reconfigurable computational substrate. The research addresses several cross-cutting issues in electro-mechanical design, processor microarchitecture, and parallel programming. An integral component of this project includes the development of simulation tools and a hardware testbed for research and education in the area of adaptive active storage systems.

在 I/O 路径上嵌入计算的能力为加速各种数据密集型应用创造了令人兴奋的可能性，从基于内容的个人计算机上存储的图像检索到海量地理空间数据集的融合。存储设备的处理能力以及这些设备在系统中的位置也为提供直接在 I/O 路径上运行的以存储为中心的计算服务提供了机会。然而，以较低的能源成本在 I/O 路径上利用大量处理能力需要广泛的架构支持。该研究项目开发了一种以存储为中心的架构，其中整个 I/O 路径被视为可编程和可重新配置的计算基板。该研究解决了机电设计、处理器微体系结构和并行编程中的几个交叉问题。该项目的一个组成部分包括开发模拟工具和硬件测试台，用于自适应主动存储系统领域的研究和教育。