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A cellular architecture for self-assembled 3D computational devices

机译:自组装3D计算设备的蜂窝架构

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To overcome physical size limitations in scaling transistors in inherently two-dimensional geometries, efforts are being directed at wafer stacking to implement more quasi three-dimensional (3D) architectures. However, significant and unprecedented gains in terms of packing and speed can be achieved if CMOS components can be integrated in truly 3D cellular porous architectures. In this paper, we present our initial results to create prototype 3D cellular computational devices by self-assembly. We first describe the cellular computational architecture based on Cell Matrix, an inherently defect and fault-tolerant architecture that is self-configurable, and therefore is ideally suited for ultra large-scale integration (ULSI). We then show first prototypes of functional polyhedral computational integrated devices at the centimeter and millimeter scales as a step toward self-folding porous crystal structures at the nanoscale. Our approach is rooted in the synergy between experiments, computation, and theory. It has the potential to address the major challenges of 3D integration: self-assembly, self-configuration, defect-tolerance, and cooling.
机译:为了克服在固有的二维几何形状中缩放晶体管时的物理尺寸限制,正在致力于将晶片堆叠实现更准的三维(3D)体系结构。但是,如果可以将CMOS组件集成到真正的3D蜂窝多孔架构中,则可以在封装和速度方面实现前所未有的巨大增长。在本文中,我们介绍了通过自组装创建原型3D细胞计算设备的初步结果。我们首先描述基于Cell Matrix的蜂窝计算体系结构,它是一种可自配置的固有缺陷和容错体系结构,因此非常适合超大规模集成(ULSI)。然后,我们在厘米和毫米级显示功能多面体计算集成设备的第一个原型,作为朝纳米级自折叠多孔晶体结构迈出的一步。我们的方法植根于实验,计算和理论之间的协同作用。它有可能解决3D集成的主要挑战:自组装,自配置,容错和散热。

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