An FPGA Implementation of a Time Delay Reservoir Using Stochastic Logic

Abstract

This article presents and demonstrates a stochastic logic time delay reservoir design in FPGA hardware. The reservoir network approach is analyzed using a number of metrics, such as kernel quality, generalization rank, and performance on simple benchmarks and is also compared to a deterministic design. A novel re-seeding method is introduced to reduce the adverse effects of stochastic noise, which may also be implemented in other stochastic logic reservoir computing designs, such as echo state networks. Benchmark results indicate that the proposed design performs well on noise-tolerant classification problems, but more work needs to be done to improve the stochastic logic time delay reservoir's robustness for regression problems. In addition, we show that the stochastic design can significantly reduce area cost if the conversion between binary and stochastic representations is implemented efficiently.

Document Details

Document Type
Pub Defense Publication
Publication Date
Oct 31, 2018
Source ID
10.1145/3269984

Entities

People

  • Cory Merkel
  • Lisa Loomis
  • Nathan D. McDonald

Organizations

  • Air Force Office of Scientific Research
  • Air Force Research Laboratory
  • Rochester Institute of Technology

Tags

Fields of Study

  • Computer science

Readers

  • Integrated Circuit Design and Technology.
  • Neural Network Machine Learning.
  • Operations Research