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Simulating 3-Symbol Turing Machines with SIMD||DNA

Authors David Doty , Aaron Ong

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Subject Classification

ACM Subject Classification
  • Theory of computation → Models of computation
Keywords
  • DNA storage
  • strand displacement
  • parallel computation

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Abstract

SIMD||DNA [Wang et al., 2019] is a model of DNA strand displacement allowing parallel in-memory computation on DNA storage. We show how to simulate an arbitrary 3-symbol space-bounded Turing machine with a SIMD||DNA program, giving a more direct and efficient route to general-purpose information manipulation on DNA storage than the Rule 110 simulation of Wang, Chalk, and Soloveichik [Wang et al., 2019]. We also develop software (https://github.com/UC-Davis-molecular-computing/simd-dna) that can simulate SIMD||DNA programs and produce SVG figures.

Cite As Get BibTex

David Doty and Aaron Ong. Simulating 3-Symbol Turing Machines with SIMD||DNA. In 1st Symposium on Algorithmic Foundations of Dynamic Networks (SAND 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 221, pp. 14:1-14:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022) https://doi.org/10.4230/LIPIcs.SAND.2022.14

Author Details

David Doty
  • University of California, Davis, CA, USA
Aaron Ong
  • University of California, Davis, CA, USA

Funding

The authors were supported by NSF grants 1900931 and 1844976.

Supplementary Materials

References

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