Collaborative Research: Platform-Based CAD for Power and Performance Optimization

协作研究：用于功率和性能优化的基于平台的 CAD

• 批准号: 0203813
• 负责人: Nikil Dutt
• 金额: $ 9.01万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2006-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0203813&HistoricalAwards=false
• 关键词: Collaborative; Research; Platform; Based; CAD

As integrated circuit chips are becoming more complex to design, pre-fabricated platform chips, intended to meet the needs of a wide variety of embedded computing products, are becoming increasingly common. The trend towards platforms creates the need for parameterizing computing architectures such that platforms can have their performance and power consumption adapted to the different needs of different products, and that can be tuned to the particular compute patterns of a particular product. This project will investigate several aspects of such parameterization. It will demonstrate the feasibility of extensive parameterization of an architecture's memory components, key contributors to power and performance. It will define the basic tasks that make up platform-oriented CAD, partition computer-aided design (CAD) tasks between desktop and platform resources to yield fast yet accurate andcost-effective CAD solutions, and develop new CAD exploration algorithms for desktop/platform co-exploration. The research will benefit platform designers, who need an understanding of parameters and tuning issues to effectively build heavily parameterized platforms and their associated CAD tools, and platform users, who can utilize such platforms and CAD tools to develop more efficient platform-based designs than currently possible.

随着集成电路芯片的设计变得越来越复杂，旨在满足各种嵌入式计算产品的需求的预制平台芯片变得越来越普遍。朝向平台的趋势产生了对参数化计算架构的需求，使得平台可以使其性能和功耗适应于不同产品的不同需求，并且可以被调谐到特定产品的特定计算模式。 本项目将研究这种参数化的几个方面。 它将展示架构的内存组件的广泛参数化的可行性，这些组件是功率和性能的关键贡献者。它将定义构成面向平台的CAD的基本任务，在桌面和平台资源之间划分计算机辅助设计（CAD）任务，以产生快速而准确且具有成本效益的CAD解决方案，并为桌面/平台合作开发新的CAD探索算法。这项研究将有利于平台设计人员，他们需要了解参数和调整问题，以有效地构建高度参数化的平台及其相关的CAD工具，以及平台用户，他们可以利用这些平台和CAD工具来开发比目前更有效的基于平台的设计。