Search Results - "Distributed and Parallel Implementations"

A Spark-based Apriori algorithm with reduced shuffle overhead by Raj, Shashi, Ramesh, Dharavath, Sethi, Krishan Kumar

“…, reduce the effectiveness of Apriori for large-size datasets. When the data size is large, even distributed and parallel implementations of Apriori using the MapReduce framework does not perform well…”
Get full text

Distributed Bayesian matrix factorization with limited communication by Qin, Xiangju, Blomstedt, Paul, Leppäaho, Eemeli, Parviainen, Pekka, Kaski, Samuel

“…Bayesian matrix factorization (BMF) is a powerful tool for producing low-rank representations of matrices and for predicting missing values and providing…”
Get full text

GPU Accelerated Genetic Algorithm with Sequence-based Clustering for Ordered Problems by Ohira, Ryoma, Islam, Md. Saiful

“… Due to its flexibility and modularity, it is commonly employed in distributed and parallel implementations, particularly in recent trends in leveraging the massively parallel cores in GPUs…”
Get full text

Distributed Bayesian Matrix Factorization with Limited Communication by Qin, Xiangju, Blomstedt, Paul, Leppäaho, Eemeli, Parviainen, Pekka, Kaski, Samuel

“…Bayesian matrix factorization (BMF) is a powerful tool for producing low-rank representations of matrices and for predicting missing values and providing…”
Get full text

Distributed And Parallel Low-Diameter Decompositions for Arbitrary and Restricted Graphs by Dou, Jinfeng, Götte, Thorsten, Hillebrandt, Henning, Scheideler, Christian, Werthmann, Julian

“…We consider the distributed and parallel construction of low-diameter decompositions with strong diameter for (weighted) graphs and (weighted) graphs that can…”
Get full text

ClustalW-MPI: ClustalW analysis using distributed and parallel computing by Li, Kuo-Bin

“…: pairwise alignment, guide-tree generation and progressive alignment. ClustalW-MPI is a distributed and parallel implementation of ClustalW…”
Get full text

Scheduling-Guided Automatic Processing of Massive Hyperspectral Image Classification on Cloud Computing Architectures by Wu, Zebin, Sun, Jin, Zhang, Yi, Zhu, Yaoqin, Li, Jun, Plaza, Antonio, Benediktsson, Jon Atli, Wei, Zhihui

“… computing resources on a cloud platform. By analyzing the procedure of a representative classification method, we first develop its distributed and parallel implementation based on the MapReduce mechanism on Apache Spark…”
Get full text

Parallel and distributed systems for constructive neural network learning by Fletcher, J., Obradovic, Z.

“… Distributed and parallel implementations under p4 using a network of workstations and a Touchstone DELTA are examined…”
Get full text

Scaling up stochastic gradient descent for non-convex optimisation by Mohamad, Saad, Alamri, Hamad, Bouchachia, Abdelhamid

“… We propose a unified distributed and parallel implementation of SGD (named DPSGD) that relies on both asynchronous distribution and lock-free parallelism…”
Get full text

Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing by Sardellitti, Stefania, Scutari, Gesualdo, Barbarossa, Sergio

“…Migrating computational intensive tasks from mobile devices to more resourceful cloud servers is a promising technique to increase the computational capacity…”
Get full text

A parallel and distributed stochastic gradient descent implementation using commodity clusters by Kennedy, Robert K. L., Khoshgoftaar, Taghi M., Villanustre, Flavio, Humphrey, Timothy

“… the shelf networking components. In this paper, we present a novel distributed and parallel implementation of stochastic gradient descent (SGD…”
Get full text

A Distributed Hyperspectral Target Detection Algorithm Based on Background Reconstruction for Cloud Platforms by Xu, Lidan, Wu, Zebin, Sun, Jin, Zhang, Yi, Wei, Zhihui

“… This paper proposes a Spark-based distributed and parallel implementation of a hyperspectral target detection method that integrates variational autoencoder with constrained energy minimization…”
Get full text

A Real-Time Multiaperture Omnidirectional Visual Sensor Based on an Interconnected Network of Smart Cameras by Seyid, Kerem, Popovic, Vladan, Cogal, Omer, Akin, Abdulkadir, Afshari, Hossein, Schmid, Alexandre, Leblebici, Yusuf

“… central processing node for omnidirectional image and video reconstruction. In this paper, a novel distributed and parallel implementation of the omnidirectional vision reconstruction algorithm of the Panoptic system is presented…”
Get full text

A Block Minorization-Maximization Algorithm for Heteroscedastic Regression by Nguyen, Hien D., Lloyd-Jones, Luke R., McLachlan, Geoffrey J.

“… A distributed and parallel implementation of the MM algorithm is presented, and the MM algorithm is shown to have differing time complexity to the Newton algorithm…”
Get full text

A Block Minorization--Maximization Algorithm for Heteroscedastic Regression by Nguyen, Hien D, Lloyd-Jones, Luke R, McLachlan, Geoffrey J

“… A distributed and parallel implementation of the MM algorithm is presented and the MM algorithm is shown to have differing time complexity to the Newton algorithm…”
Get full text

Scaling up Stochastic Gradient Descent for Non-convex Optimisation by Saad Mohamad, Alamri, Hamad, Bouchachia, Abdelhamid

“… We propose a unified distributed and parallel implementation of SGD (named DPSGD) that relies on both asynchronous distribution and lock-free parallelism…”
Get full text

Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing by Sardellitti, Stefania, Scutari, Gesualdo, Barbarossa, Sergio

“…Migrating computational intensive tasks from mobile devices to more resourceful cloud servers is a promising technique to increase the computational capacity…”
Get full text

Decision Making and Health Management for Cooperating UAS by Léchevin Nicolas, Rabbath Camille Alain

“…The following sections are included: Coordinated Rendezvous of UAS Formations Context Related work Multi-formations Models Cooperating UAS and urban…”
Get full text