接近计算的物理极限

M. Frank
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引用次数: 52

摘要

随着逻辑器件尺寸缩小到纳米级,一些重要的物理限制威胁着计算机单位成本性能的进一步提高。然而,短期的限制并不是真正的根本,可以通过对计算机的物理和逻辑架构进行彻底的改变来避免。特别是,对计算机能量效率的某些假定限制从未得到严格证明,并且可以使用物理机制来规避,以接近100%的效率恢复和重用信号能量。然而,这个被称为可逆计算的概念在从物理到算法的各个层面上对机器的设计施加了严格的限制。我们回顾了如果真正的机器要突破阻碍进一步发展的障碍,并接近计算的真正基本物理限制,必须满足的物理和体系结构要求。
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Approaching the physical limits of computing
As logic device sizes shrink towards the nanometer scale, a number of important physical limits threaten to soon halt further improvements in computer performance per unit cost. However, the near-term limits are not truly fundamental, and may be avoided by making radical changes to the physical and logical architecture of computers. In particular, certain assumed limits to the energy efficiency of computers have never been rigorously proven, and may be circumvented using physical mechanisms that recover and reuse signal energies with efficiency approaching 100%. However, this concept, called reversible computing, imposes tight constraints on the design of the machine at all levels from physics to algorithms. We review the physical and architectural requirements that must be met if real machines are to break through the barriers preventing further progress, and approach the true fundamental physical limits to computing.
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