A new multi-resolution parallel framework for SPH
Sign Up to like & getrecommendations! Published in 2019 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2018.09.043
Abstract: Abstract In this paper we present a new multi-resolution parallel framework, which is designed for large-scale SPH simulations of fluid dynamics. An adaptive rebalancing criterion and monitoring system is developed to integrate the CVP partitioning… read more here.
Keywords: parallel framework; resolution parallel; multi resolution; framework ... See more keywords
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From ShanghaiTech University
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3205479
Abstract: In SC20, (Srivastava et al. 2020) proposed a Parallel Framework for Bayesian Learning, or ramBLe, for short, which is a highly parallel and efficient framework for learning the structure of Bayesian Networks (BNs) from samples,… read more here.
Keywords: critique parallel; parallel framework; framework; constraint based ... See more keywords
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From Peking University
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3206099
Abstract: Ankit Srivastava et al. (Srivastava et al. 2020) proposed a parallel framework for Constraint-Based Bayesian Network (BN) Learning via Markov Blanket Discovery (referred to as ramBLe) and implemented it over three existing BN learning algorithms,… read more here.
Keywords: parallel framework; constraint based; network learning; based bayesian ... See more keywords
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From Tsinghua University
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3209723
Abstract: Srivastava et al. propose a parallel framework to optimize Bayesian network learning in the SC20 article entitled “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery”. They parallelize all the phases in… read more here.
Keywords: article; network; parallel framework; network learning ... See more keywords
A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2023.3244135
Abstract: Bayesian networks (BNs) are a widely used graphical model in machine learning. As learning the structure of BNs is NP-hard, high-performance computing methods are necessary for constructing large-scale networks. In this article, we present a… read more here.
Keywords: parallel framework; framework; constraint based; framework constraint ... See more keywords
A Parallel Algorithm Framework for Feature Extraction of EEG Signals on MPI
Sign Up to like & getrecommendations! Published in 2020 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2020/9812019
Abstract: In this paper, we present a parallel framework based on MPI for a large dataset to extract power spectrum features of EEG signals so as to improve the speed of brain signal processing. At present,… read more here.
Keywords: framework; eeg signals; power spectrum; parallel framework ... See more keywords