A Stochastic Computing Scheme of Embedding Random Bit Generation and Processing in Computational Random Access Memory (SC-CRAM)

A Stochastic Computing Scheme of Embedding Random Bit Generation and Processing in Computational Random Access Memory (SC-CRAM)

Blog Article

Stochastic computing (SC) has emerged as a promising solution for performing complex functions on large amounts of data to meet future computing demands.However, the hardware needed to generate random bit-streams using conventional CMOS-based technologies drastically increases the area and delay cost.Area costs can Grommet Kit be reduced using spintronics-based random number generators (RNGs), and however, this will not alleviate the delay costs since stochastic bit Goalie - Chest Protectors - Junior generation is still performed separately from the computation.

In this article, we present an SC method of embedding stochastic bit generation and processing in a computational random access memory (CRAM) array, which we refer to as SC-CRAM.We demonstrate that SC-CRAM is a resilient and low-cost method for image processing, Bayesian inference systems, and Bayesian belief networks.