Reconfigurable Computing: Bridging the Gap

可重构计算：弥合差距

• 批准号: 0310916
• 负责人: Ramachandran Vaidyanathan
• 金额: $ 25万
• 依托单位: Louisiana State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2008-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0310916&HistoricalAwards=false
• 关键词: Reconfigurable; Computing; Bridging; Gap

Reconfigurable Computing: Bridging the GapReconfigurable computing exploits the ability of hardware to adapt its structure and function to suit a given problem. Theoretical models have established its power and versatility, and commercially available devices have exploited reconfiguration in solutions to a variety of problems, yet a significant gap exists between theory and practice. Theoretical models make assumptions that are unlikely to be realizable. Practical solutions are often tied to device-specific features, solving the given problem, but offering little beyond that in developing broad techniques. This project seeks to bridge this gap by tethering theory in reality, while abstracting solutions from device details.We approach the task of bridging the gap between theory and practice from two directions: (1) theoretical models (primarily the R-Mesh) and (2) commercially available hardware (primarily FPGAs). The first direction will realistically account for practical considerations (like bus delay and power consumption), while exploiting the power of reconfiguration. The second direction will construct problem solutions (in areas like image processing and networking) on practical hardware with an aim of extracting and applying general principles. We expect these directions to open the door to hybrid architectures that seek to build on the strengths of the two platforms and fill each other's deficiencies.

可重构计算：弥合差距可重构计算利用硬件的能力，以适应其结构和功能，以适应一个给定的问题。理论模型已经建立了它的力量和多功能性，商业上可用的设备已经利用重新配置来解决各种问题，但理论和实践之间存在着显着的差距。理论模型做出的假设不太可能实现。实用的解决方案通常与特定于设备的功能相关联，解决了给定的问题，但在开发广泛的技术方面提供的东西很少。本项目的目的是通过将Tethering理论应用于现实，同时从设备细节中抽象出解决方案，从理论模型（主要是R-Mesh）和商用硬件（主要是FPGA）两个方向着手，弥合理论与实践之间的差距。第一个方向将现实地考虑实际的考虑因素（如总线延迟和功耗），同时利用重新配置的力量。第二个方向将在实际硬件上构建问题解决方案（如图像处理和网络），旨在提取和应用一般原理。我们希望这些方向能够为寻求建立在两个平台的优势上并填补彼此的不足的混合架构打开大门。