Parallel Pairwise Operations on Data Stored in DNA: Sorting, Shifting, and Searching

Authors Tonglin Chen, Arnav Solanki , Marc Riedel



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Author Details

Tonglin Chen
  • Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA
Arnav Solanki
  • Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA
Marc Riedel
  • Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA

Acknowledgements

We thank David Soloveichik, Olgica Milenkovic, Boya Wang, and Cameron Chalk.

Cite AsGet BibTex

Tonglin Chen, Arnav Solanki, and Marc Riedel. Parallel Pairwise Operations on Data Stored in DNA: Sorting, Shifting, and Searching. In 27th International Conference on DNA Computing and Molecular Programming (DNA 27). Leibniz International Proceedings in Informatics (LIPIcs), Volume 205, pp. 11:1-11:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
https://doi.org/10.4230/LIPIcs.DNA.27.11

Abstract

Prior research has introduced the Single-Instruction-Multiple-Data paradigm for DNA computing (SIMD DNA). It offers the potential for storing information and performing in-memory computations on DNA, with massive parallelism. This paper introduces three new SIMD DNA operations: sorting, shifting, and searching. Each is a fundamental operation in computer science. Our implementations demonstrate the effectiveness of parallel pairwise operations with this new paradigm.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Parallel computing methodologies
  • Applied computing → Computational biology
Keywords
  • Molecular Computing
  • DNA Computing
  • DNA Storage
  • Parallel Computing
  • Strand Displacement

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