
doi: 10.1109/dft.2008.70
Summary form only given..Advances have been been made recently in assembling nanoscale devices without using photolithography. This important development, which offers the potential for greatly increasing the density of memory cells and logic gates, introduces a new model of computation and new analytical challenges. In this talk we provide an introduction to this new area. The difficulty of assembling irregularly placed nanoscale devices has caused the research community to focus on the crossbar. All known methods for controlling individual nanowires (NWs) in a crossbar by mesoscale wires (MWs) introduces randomness in the connections. This introduces several questions. First, which methods of controlling NWs with MWs devotes the smallest amount of area for this purpose? Second, how can stochastically assembled chips be configured after assembly? Third, since errors will occur during assembly, how can chips be designed to minimize the effect of such errors? Finally, what computational limitations do stochastically assembled, crossbar-based computers introduce? We will address these and other questions.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
