Stochastic Computing: An Introduction
Copyright policy )Stochastic Computing: An Introduction
Stochastic Computing (SC) essentially represents numbers as streams of random bits and reconstructs numbers by calculating frequencies. It employs random bits to calculate via simpler circuits and with greater tolerance for errors. As a computing paradigm, SC is currently undergoing a revival. Since stochastic circuits have a small size, SC has regained interest recently due to its potential usage in some emerging nanotechnologies. In this paper, we briefly present stochastic computing and discuss its applications, benefits, and challenges.
- Prairie View A&M University United States
- Applied Science Private University Jordan
Computer Networks and Communications, Electronic circuit, Random number generation, Channel Coding, Theoretical computer science, Engineering, Artificial Intelligence, Quantum Computing and Simulation, FOS: Mathematics, Optimization Methods in Machine Learning, Stochastic computing, Statistics, Low-Density Parity-Check and Polar Codes, Computer science, Stochastic process, Algorithm, Stochastic Computing, Electrical engineering, Computer Science, Physical Sciences, Computation, Mathematics
Computer Networks and Communications, Electronic circuit, Random number generation, Channel Coding, Theoretical computer science, Engineering, Artificial Intelligence, Quantum Computing and Simulation, FOS: Mathematics, Optimization Methods in Machine Learning, Stochastic computing, Statistics, Low-Density Parity-Check and Polar Codes, Computer science, Stochastic process, Algorithm, Stochastic Computing, Electrical engineering, Computer Science, Physical Sciences, Computation, Mathematics
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