1 citations · 1 across the 2 of their papers we have counts for
3 papers
A stochastic computing architecture for iterative estimation
Michael Lunglmayr, Daniel Wiesinger, Werner Haselmayr
Stochastic computing (SC) is a promising candidate for fault tolerant computing in digital circuits. We present a novel stochastic computing estimation architecture allowing to sol…
High-Accuracy and Fault Tolerant Stochastic Inner Product Design
Werner Haselmayr, Daniel Wiesinger, Michael Lunglmayr
In this work, we present a novel inner product design for stochastic computing. Stochastic computing is an emerging computing technique, that encodes a number in the probability of…
Design and Analysis of Efficient Maximum/Minimum Circuits for Stochastic Computing
Michael Lunglmayr, Daniel Wiesinger, Werner Haselmayr
In stochastic computing (SC), a real-valued number is represented by a stochastic bit stream, encoding its value in the probability of obtaining a one. This leads to a significantl…