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，计算系统被设计为始终正确计算——即，它们被设计为在所有系统条件下避免错误；容错策略的实施主要是为了确保系统在遇到不可预见的和罕见的故障时能够继续正确执行。这种保守的、最坏情况的设计理念通常会导致非常低效的设计，特别是在功耗方面。该项目着眼于开发新型计算系统的可行性，称为随机计算机系统，可以在面对延迟和功耗等其他目标。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。