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Stochastic Computing Using Droplet-Based Microfluidics

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Book cover Computer Aided Systems Theory – EUROCAST 2017 (EUROCAST 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10672))

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Abstract

In this work, we consider the realization of stochastic computing in the microfluidic domain. To this end, we exploit the fact that both, the bit streams and the operations required for stochastic computing can be realized in microfluidic systems through droplet streams and microfluidic gates. Simulating the trajectory of the individual droplets through the microfluidic gates confirmed the validity of our approach.

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Notes

  1. 1.

    We refer to [8] for a description of the implementation for division and subtraction.

  2. 2.

    To allow for a correct functionality for \(A=1\) and \(B=1\), the droplets must enter the gate with a slight time delay.

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Authors and Affiliations

  1. Institute for Communications Engineering and RF-Systems, Johannes Kepler University Linz, Linz, Austria

    Werner Haselmayr

  2. Institute for Integrated Circuits, Johannes Kepler University Linz, Linz, Austria

    Andreas Grimmer & Robert Wille

Authors
  1. Werner Haselmayr
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  2. Andreas Grimmer
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  3. Robert Wille
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Corresponding author

Correspondence to Werner Haselmayr .

Editor information

Editors and Affiliations

  1. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Johannes Kepler University Linz, Linz, Austria

    Franz Pichler

  3. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Alexis Quesada-Arencibia

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Haselmayr, W., Grimmer, A., Wille, R. (2018). Stochastic Computing Using Droplet-Based Microfluidics. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2017. EUROCAST 2017. Lecture Notes in Computer Science(), vol 10672. Springer, Cham. https://doi.org/10.1007/978-3-319-74727-9_24

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  • DOI: https://doi.org/10.1007/978-3-319-74727-9_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74726-2

  • Online ISBN: 978-3-319-74727-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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