Engines of Parsimony: Part III; Performance Trade-offs for Reversible Computers Sharing Resources
Hannah Earley

TL;DR
This paper analyzes the performance limits of reversible computers sharing resources, highlighting the challenges of resource distribution at small biases and proposing an adaptive scheme to supply free energy, ensuring effective operation.
Contribution
It extends previous analyses to resource sharing, identifying the failure modes at low biases and introducing a dynamic free energy supply scheme for reversible computers.
Findings
Most schemes fail at low computational bias as system size grows.
Supplying excess free energy can overcome thermodynamic challenges in resource distribution.
The proposed adaptive scheme has overhead comparable to previous communication schemes.
Abstract
This paper concludes a three-Part series on the limits the laws of physics place on the sustained performance of reversible computers. Part I concerned aggregate performance in terms of computational operations per unit time, but neglected to consider interactions among computational sub-units or between computational sub-units and shared resources such as memory or chemical species. Part II extended the analysis to consider the former set of interactions. In this Part we extend the analysis to consider the latter set, with a particular focus on resource distribution in the first half. It is found that most schemes imaginable fail to function effectively in the limit of vanishing 'computational bias' , which measures the net fraction of transitions which are successful, and falls as the system grows in size. Driving thermodynamically unfavourable reactions, such as resource…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Quantum Computing Algorithms and Architecture · Molecular Communication and Nanonetworks
