Search Results - Distributed and Parallel Implementations

Distributed memory parallel implementation of energies and gradients for second-order Møller-Plesset perturbation theory with the resolution-of-the-identity approximation by Hättig, Christof, Hellweg, Arnim, Köhn, Andreas

“…) standard for communication between distributed memory nodes. The parallel implementation extends the applicability of canonical MP2 to considerably larger systems…”
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Parallel SnowModel (v1.0): a parallel implementation of a distributed snow-evolution modeling system (SnowModel) by Mower, Ross, Gutmann, Ethan D., Liston, Glen E., Lundquist, Jessica, Rasmussen, Soren

“… In the parallel algorithm, the model domain was split into smaller rectangular sub-domains that are distributed over multiple processor cores using one-dimensional decomposition…”
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A parallel, distributed memory implementation of the adaptive sampling configuration interaction method by Williams-Young, David B, Tubman, Norm M, Mejuto-Zaera, Carlos, de Jong, Wibe A

“… Here, we present a parallel, distributed memory implementation of the adaptive sampling configuration interaction approach (ASCI) for sCI…”
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ParaDist-HMM: A Parallel Distributed Implementation of Hidden Markov Model for Big Data Analytics using Spark by Sassi, Imad, Anter, Samir, Bekkhoucha, Abdelkrim

“… They owe their success to the existence of many efficient and reliable algorithms. In this paper, we present ParaDist-HMM, a parallel distributed imple-mentation of hidden Markov model for modeling and solving big data analytics problems…”
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A multi-grained distributed implementation of the parallel Block Conjugate Gradient algorithm by Murli, A., D'Amore, L., Laccetti, G., Gregoretti, F., Oliva, G.

“… We have adapted it for use in heterogeneous, geographically distributed, parallel architectures…”
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Parallel and Distributed Implementation of Sine Cosine Algorithm on Apache Spark Platform by Alfailakawi, Mohammad Gh, Aljame, Maryam, Ahmad, Imtiaz

“… Therefore, in order to tackle such challenging problems efficiently, this work proposes Spark-SCA, a scalable and parallel implementation of SCA algorithm on Apache Spark distributed framework…”
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High-Performance Mobility Simulation: Implementation of a Parallel Distributed Message-Passing Algorithm for MATSim by Laudan, Janek, Heinrich, Paul, Nagel, Kai

“… This paper presents an architectural update to the MATSim traffic simulation framework, introducing a prototype that adapts the existing traffic flow model to a distributed parallel algorithm…”
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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…”
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Parallel Implementation of Sparse Distributed Memory for Semantic Storage by Vdovychenko, Ruslan, Tulchinsky, Vadim

“…Introduction. Sparse Distributed Memory (SDM) and Binary Sparse Distributed Representations…”
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A distributed memory parallel implementation of the multigrid method for solving three-dimensional implicit solid mechanics problems by Namazifard, A., Parsons, I. D.

“…We describe the parallel implementation of a multigrid method for unstructured finite element discretizations of solid mechanics problems…”
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A heterogeneous parallel implementation of the Markov clustering algorithm for large-scale biological networks on distributed CPU–GPU clusters by Fu, You, Zhou, Wei

“… more unaffordable. In this paper, we propose a heterogeneous parallel algorithm focusing on accelerating clustering tasks using distributed CPU–GPU clusters…”
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A distributed implementation of parallel genetic algorithm for slope stability evaluation by Piotr E. Srokosz, Chi Tran

“… Parallel computers can be simply classified into shared memory systems and distributed memory systems…”
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The modified Fluid Particle Model for non-linear Casson fluid and its parallel distributed implementation by Paszyński, M., Schaefer, R.

“… Details of a parallel implementation of the algorithm will also be presented…”
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Parallel/distributed implementation of cellular training for generative adversarial neural networks by Perez, Emiliano, Nesmachnow, Sergio, Toutouh, Jamal, Hemberg, Erik, O'Reily, Una-May

“… This article presents a parallel/distributed implementation of a cellular competitive coevolutionary method to train two populations of GANs…”
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On Implementation of Parallel Map and Shuffle Phases for Coded Distributed Computing by Tu, Haoyu, Yuan, Kai, Ma, Shuai, Wu, Youlong

“…In this letter, we consider the MapReduce-type distributed system and jointly design the Map and Shuffle phases of the coded distributed computing (CDC…”
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Parallel Distributed Implementation of Neuroevolution of Augmenting Topologies in Continuous Control Tasks by Achour, Illia, Doroshenko, Anatoliy

“…This paper proposes a novel distributed implementation of neuroevolution of augmenting topologies method, which, considering the availability of sufficient computational resources, allows drastically…”
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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…”
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Parallel distributed genetic fuzzy rule selection by Nojima, Yusuke, Ishibuchi, Hisao, Kuwajima, Isao

“… Our idea is based on its parallel distributed implementation. Both a training data set and a population are divided into subgroups (i.e…”
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Ensemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets by Nojima, Yusuke, Mihara, Shingo, Ishibuchi, Hisao

“… The scalability improvement to large data sets is one of the main research issues in GBML. In our former studies, we proposed an idea of parallel distributed implementation of GBML and examined its effectiveness for genetic…”
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A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale by Hao-Jun, Michael Shi, Lee, Tsung-Hsien, Iwasaki, Shintaro, Gallego-Posada, Jose, Li, Zhijing, Kaushik Rangadurai, Mudigere, Dheevatsa, Rabbat, Michael

“… Our implementation enables fast multi-GPU distributed data-parallel training by distributing the memory and computation associated with blocks of each parameter via PyTorch's DTensor data structure…”
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