An Early Stage Exploration of Stochastic Computer Systems

随机计算机系统的早期探索

• 批准号: 0939948
• 负责人: Rakesh Kumar
• 金额: $ 9.59万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0939948&HistoricalAwards=false
• 关键词: Early; Stage; Exploration; Stochastic; Computer

Traditionally, computing systems have been designed to always compute correctly - i.e., they are designed for error avoidance under all system conditions; fault tolerance strategies are implemented primarily to ensure continued correct execution in face of unforeseen and infrequent faults in the system. This conservative, worst-case design philosophy often leads to very inefficient designs, especially in terms of power.This project looks at the feasibility of developing a new class of computing systems, referred to as stochastic computer systems that perform best-effort fault avoidance in face of other objectives like latency and power. The primary benefit of a stochastic computer system will be allowing the use of very low-power, but unreliable technologies, as well as allowing aggressive low-power optimizations.

传统上，计算系统被设计为总是正确地计算，即，它们被设计为在所有系统条件下避免错误;实施容错策略主要是为了确保在系统中出现不可预见和罕见的故障时继续正确执行。这种保守的、最坏情况下的设计理念往往会导致非常低效的设计，特别是在功耗方面。本项目着眼于开发一类新的计算系统的可行性，这种系统被称为随机计算机系统，它在面对其他目标（如延迟和功耗）时执行最大努力的故障避免。随机计算机系统的主要好处是允许使用非常低功耗但不可靠的技术，以及允许积极的低功耗优化。