Stochastic computing convolutional neural network architecture reinvented for highly efficient artificial intelligence workload on field-programmable gate array

YY Lee, ZA Halim, MNA Wahab, TA Almohamad - Research, 2024 - spj.science.org
Stochastic computing (SC) has a substantial amount of study on application-specific
integrated circuit (ASIC) design for artificial intelligence (AI) edge computing, especially the …

Stochastic Computing Architectures: Modeling, Optimization, and Applications

L Wang, Z Luo, L Gao - Symmetry, 2024 - search.proquest.com
With the rapid development of artificial intelligence (AI), the design and implementation of
very large-scale integrated circuits (VLSI) based on traditional binary computation are facing …

Mitigating the Correlation Problem in Multi-Layer Stochastic Circuits

O Hoffend, JP Hayes - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Stochastic computing is a low-cost non-standard computer architecture that processes
pseudo-random bitstreams. Its effectiveness, and that of other probabilistic methods …

Multiplexer-majority chains: Managing correlation and cost in stochastic number generation

T Baker, O Hoffend, J Hayes - Proceedings of the 17th ACM International …, 2022 - dl.acm.org
High-cost stochastic number generators (SNGs) are the main source of stochastic numbers
(SNs) in stochastic computing. Interacting SNs must usually be uncorrelated for satisfactory …

A Statistical Approach to Stochastic Computing Design and Analysis

T Baker - 2023 - deepblue.lib.umich.edu
Stochastic computing (SC) is an unconventional computing style that uses probabilistic
bitstreams to implement algorithms like those for machine learning, digital filtering, and …

Compact Machine Learning Systems with Reconfigurable Computing

A Moran Costoya - dspace.uib.es
[eng]• Introduction Recently, the state-of-the-art solution was to send data captured by
sensor nodes to the cloud and wait for the server's response. This server-dependent …