Electronic Information Processing After Scaling: Physical Limits for Technology Assessment

CCF-0649691扩展后的电子信息处理：技术评估的物理限制PI：Anderson，Neal G.Inst：马萨诸塞大学阿默斯特分校摘要：随着硅集成电路技术的扩展接近回报递减点，以及对后续技术的提议激增，对信息处理的新的和非常规方法的批判性评估的需求将越来越大。将需要新的工具来衡量潜在继任者技术的最终潜力，以可靠地处理速度和电路密度，其速度和电路密度超过在规模结束时在硅中实现的速度和电路密度。该计划旨在通过扩展和应用物理信息理论来开发此类工具，使这一理论方法的力量适用于对新兴电子信息处理技术的实际评估。在与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)将是最优先的。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技术，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认识。

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.