Stochastic Computing: Techniques and Applications

This book covers the history and recent developments of stochastic computing. Stochastic computing (SC) was first introduced in the 1960s for logic circuit design, but its origin can be traced back to von Neumann's work on probabilistic logic. In SC, real numbers are encoded by random binary bi...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Gross, Warren J. (Editor), Gaudet, Vincent C. (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Subjects:
Electronic circuits.
Logic design.
Probabilities.
Electronic Circuits and Systems.
Logic Design.
Probability Theory.
Online Access:Full-text access
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Table of Contents:
  • Foreword: Gulak
  • 1. Introduction to Stochastic Computing (Gaudet, Gross, Smith)
  • 2. Origins of Stochastic Computing (Gaines)
  • 3. Tutorial on Stochastic Computing (Winstead)
  • 4. Accuracy and Correlation in Stochastic Computing (Alaghi, Ting, Lee, Hayes)
  • 5. Synthesis of Polynomial Functions (Riedel, Qian)
  • 6. Deterministic Approaches to Bitstream Computing (Riedel)
  • 7. Generating Stochastic Bitstreams (Hsiao, Anderson, Hara-Azumi)
  • 8. RRAM Solutions for Stochastic Computing (Knag, Gaba, Lu, Zhang)
  • 9 Spintronic Solutions for Stochastic Computing (Jia, Wang, Huang, Zhang, Yang, Qu, et al.)
  • 10. Brain-inspired computing (Onizawa, Gross, Hanyu)
  • 11. Stochastic Decoding of Error-Correcting Codes (Leduc-Primeau, Hemati, Gaudet, Gross).

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