Novel Methods in Computer-Aided Circuit Design and Testing Using Recursive Learning

使用递归学习的计算机辅助电路设计和测试的新方法

• 批准号: 9406946
• 负责人: Duncan Walker
• 金额: $ 32.37万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-09-15 至 1999-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9406946&HistoricalAwards=false
• 关键词: Novel; Methods; Computer; Aided; Circuit

This research investigates modeling and estimation of power consumption as well as techniques for minimizing power at the various levels of design abstraction (layout, logic, register- transfer and behavioral levels). Principles and methods to guide the design of power efficient electronic systems are being explored; and the impact of availability of low-power design techniques on chip, module, and system level designs is being assessed. Topics being investigated include: spatio-temporal power estimation; state assignment for low power; power dissipation in boolean networks; common subexpression extraction; and FPGA synthesis for low power.

本研究调查建模和估计的功耗以及技术，以尽量减少功耗的各个层次的设计抽象（布局，逻辑，寄存器传输和行为水平）。 正在探索指导高能效电子系统设计的原则和方法;正在评估低功耗设计技术对芯片、模块和系统级设计的影响。 调查的主题包括：时空功耗估计;低功耗状态分配;布尔网络功耗;公共子表达式提取;低功耗FPGA综合。