PMBA: A Parallel MCMC Bayesian Computing Accelerator

PMBA: A Parallel MCMC Bayesian Computing Accelerator

Bayesian computing, including sampling probability distributions, learning graphic model, and Bayesian reasoning, is a powerful class of machine learning algorithms with such wide applications as biologic computing, financial analysis, natural language processing, autonomous driving, and robotics. T...

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Bibliographic Details
Main Authors: Yufei Ni, Yangdong Deng, Songlin Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Accelerator architectures
Bayesian methods
FPGA
MCMC
parallel machines
Online Access:https://ieeexplore.ieee.org/document/9417161/

Internet

https://ieeexplore.ieee.org/document/9417161/

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