NER: Exploring Nanodevices for Probabilistic Computing Architectures

项目编号：0403958INSTITUTION: Brown university首席研究员：Zaslavsky， alexander标题：NER：探索概率计算体系结构的纳米器件摘要：现代基于晶体管的数字技术的进步依赖于将硅晶体管缩小到更小的尺寸，并将更多的这些晶体管集成到逻辑电路中。然而，在未来十年的某个时候，晶体管将达到其最终的物理尺寸，电路将包含如此多的晶体管，一些无法工作的器件将不可避免。因此，我们可能需要两种新型器件来取代硅晶体管，或者需要一种新型逻辑架构来容忍电路中存在一定数量的缺陷器件，或者两者兼而有之。本文提出的探索性研究正是针对这两个问题。我们建议将我们之前开发的概率计算机架构映射到真实的实验设备上，这些设备将由碳纳米管材料制造。相反，纳米管器件原型的非线性特性将为设计更先进的容错逻辑电路提供实验输入。

PROPOSAL NO: 0403958INSTITUTION: Brown UniversityPRINCIPAL INVESTIGATOR: Zaslavsky , AlexanderTITLE: NER: Exploring Nanodevices for Probabilistic Computing ArchitecturesAbstract:The progress of modern transistor-based digital technology has depended on shrinking silicon transistor to ever smaller sizes and integrating more of these transistors into logic circuits. At some point in the next decade, however, transistors will reach their ultimate physical size and circuits will contain so many transistors that some nonworking devices are inevitable. As a result, we may need both new types of devices to replace silicon transistors or new types of logic architectures that can tolerate some number of defective devices in a circuit, or both.The proposed exploratory research targets both of these issues. We propose to map our previously developed probabilistic computer architectures onto real experimental devices, that will be fabricated from carbon nanotube material. Conversely, the nonlinear characteristics of the nanotube device prototypes will provide the experimental inputs to designing more advanced fault-tolerant logic circuits.