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Computing with Glue, Balls, and Recycled Bits: New Physical Models of Computing

机译:用胶,球和回收钻头进行计算:新的物理计算模型

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Real computers live in a physical world, which offers many different ways to compute other than standard CMOS chips. I'll talk about a few different models I've played with, which incorporate geometry and/or thermodynamics into the computational model. 1. Glues: We can build computers out of simple geometric nanoparticles (e.g. DNA) with somewhat selective glues that define how they stick together, or come apart. Our latest result is a way to build a universal replicator, like a photocopier for unknown nanostructures. 2. Balls: We can build computers out of obstacles and rolling balls that just respond to global signals like "roll all balls maximally to the right". The puzzle Tilt embodies this physics, which also have real-world applications in biomedicine. 3. Recycled Bits: We can build computers that recycle bits whenever possible instead of throwing them away a billion times a second. This requires developing a whole new suite of algorithms, but it can lead to several orders of magnitude improved energy efficiency, which ultimately may lead to a similar improvement in speed. 4. In the Limit: What happens when computation and memory are taken to their physical (geometric) limits? I think we should go back to studying algorithms for 1970s-era mesh computers.
机译:实际的计算机生活在一个物理世界中,除了标准CMOS芯片外,物理世界还提供了许多不同的计算方法。我将讨论一些我玩过的不同模型,这些模型将几何和/或热力学合并到了计算模型中。 1.胶水:我们可以使用具有选择性的胶水从简单的几何纳米颗粒(例如DNA)构建计算机,这些胶水定义了它们如何粘在一起或分开。我们的最新成果是一种构建通用复制器的方法,例如用于未知纳米结构的复印机。 2.球:我们可以利用障碍物和滚球来构建计算机,这些球可以响应全局信号,例如“将所有球最大程度地向右滚动”。拼图Tilt体现了这一物理学,在生物医学中也有实际应用。 3.回收钻头:我们可以制造能够在任何可能的情况下回收钻头的计算机,而不是每秒丢掉十亿次。这就需要开发一套全新的算法,但是它可以使能源效率提高几个数量级,最终可能会导致速度的类似提高。 4.在极限中:当计算和存储达到其物理(几何)极限时会发生什么?我认为我们应该回到研究1970年代网格计算机的算法。

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