Electronic Information Processing After Scaling: Physical Limits for Technology Assessment

缩放后的电子信息处理：技术评估的物理极限

• 批准号: 0649691
• 负责人: Neal Anderson
• 金额: --
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-10-01 至 2008-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0649691&HistoricalAwards=false
• 关键词: Electronic; Information; Processing; After; Scaling

CCF - 0649691 Electronic Information Processing After Scaling: Physical Limits for Technology AssessmentPI: Anderson, Neal G. Inst: University of Massachusetts AmherstAbstract:As scaling of silicon integrated circuit technology approaches the point of diminishing returns, and proposals for successor technologies proliferate, there will be a growing need for critical assessment of new and unconventional approaches to information processing. New tools will be needed to gauge the ultimate potential of would-be successor technologies to reliably process information at speeds and circuit densities exceeding those that will have been achieved in silicon at the end of scaling. This program aims to develop such tools through extension and application of physical information theory, bringing the power of this theoretical approach to bear on the practical assessment of emerging electronic information processing technologies. Exploration of fundamental limits on signal fidelity and the physical costs of information processing (e.g. in heat dissipation) in technologically relevant settings will receive the highest priority. Success in this program will provide useful approaches for evaluating the information processing capabilities and resource requirements of emerging technologies - including but not limited to charge-based nanoelectronics - and will promote understanding of the physical aspects of information processing and appreciation of their practical consequences.

CCF - 0649691缩放后的电子信息处理：技术评估的物理限制PI：安德森，Neal G。 仪器：马萨诸塞州阿默斯特大学摘要：随着硅集成电路技术的规模接近收益递减点，以及后续技术的建议激增，将有越来越多的新的和非传统的信息处理方法的关键评估的需要。需要新的工具来衡量未来后继技术的最终潜力，以可靠地处理信息，其速度和电路密度超过了扩展结束时在硅中实现的速度和电路密度。该计划旨在通过物理信息理论的扩展和应用开发此类工具，将这种理论方法的力量应用于新兴电子信息处理技术的实际评估。在技术相关的环境中，探索信号保真度的基本限制和信息处理的物理成本（例如散热）将获得最高优先。该计划的成功将为评估新兴技术的信息处理能力和资源需求提供有用的方法-包括但不限于基于电荷的纳米电子学-并将促进对信息处理的物理方面的理解和对其实际后果的理解。