Search Results - Advances in Parallel and Distributed Computing for Neural Computing

Editorial introduction: special issue on advances in parallel and distributed computing for neural computing

Authors: Jianguo Chen Ahmad Salah

Source: Neural Computing and Applications. 32:5531-5533

Subject Terms: 0101 mathematics, 01 natural sciences

Access URL: https://link.springer.com/content/pdf/10.1007/s00521-020-04887-7.pdf
https://dblp.uni-trier.de/db/journals/nca/nca32.html#ChenS20
https://link.springer.com/content/pdf/10.1007/s00521-020-04887-7.pdf
https://link.springer.com/article/10.1007/s00521-020-04887-7

Reduced order models and machine learning techniques for digital twin applications

Authors: Ares de Parga Regalado, Sebastian

Thesis Advisors: Rossi, Riccardo, Hernández Ortega, Joaquín Alberto, Escola Tècnica Superior d'Enginyeria de Camins, Canals i Ports de Barcelona

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Projection-Based Model Order Reduction (PROM), Hyper-reduction, Machine Learning Regression, High-Performance Computing (HPC), Digital Twins, Àrees temàtiques de la UPC::Enginyeria civil, Àrees temàtiques de la UPC::Informàtica, Àrees temàtiques de la UPC::Enginyeria mecànica, 624 - Enginyeria civil i de la construcció en general, 004 - Informàtica, 531/534 - Mecànica. Vibracions. Acústica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/695824
https://dx.doi.org/10.5821/dissertation-2117-446579

Editorial introduction: special issue on advances in parallel and distributed computing for neural computing.

Authors: Chen, Jianguo Salah, Ahmad

Source: Neural Computing & Applications; May2020, Vol. 32 Issue 10, p5531-5533, 3p

Subject Terms: PARALLEL programming, DEEP learning, HIGH performance computing, ARTIFICIAL neural networks, DISTRIBUTED computing, COMPUTER architecture

Advances in parallel and distributed computing and its applications.

Authors: Tian, Hui Liew, Alan Wee‐Chung Shen, Hong

Source: Concurrency & Computation: Practice & Experience; 1/25/2022, Vol. 34 Issue 2, p1-3, 3p

Subject Terms: PARALLEL programming, GRID computing, SENSOR networks, SOCIAL computing, DISTRIBUTED computing, CONVOLUTIONAL neural networks, REED-Muller codes

Parallel design and implementation of SOM neural computing model in PVM environment of a distributed system

Authors: Chi-Kwong Li Huiwei Guan Songnian Yu et al.

Source: Proceedings. Advances in Parallel and Distributed Computing. :26-31

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Access URL: https://dblp.uni-trier.de/db/conf/apdc/apdc1997.html#GuanCLY97
https://ieeexplore.ieee.org/document/574010/

Implementing Holographic Reduced Representations for Spiking Neural Networks

Authors: Sumanasena, Vidura de Silva, Daswin Osipov, Evgeny et al.

Index Terms: Spiking neural networks (SNN), vector symbolic architecture (VSA), holographic reduced representations, neuromorphic computing, Computer Sciences, Datavetenskap (datalogi), Networked, Parallel and Distributed Computing, Nätverks-, parallell- och distribuerad beräkning, Article in journal, info:eu-repo/semantics/article, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-114170
IEEE Access, 2025, 13, s. 116606-116620

Tools and Methods for Distributed and Large-Scale Training of Deep Neural Networks

Authors: Sheikholeslami, Sina

Index Terms: Distributed Deep Learning, Ablation Studies, Data-parallel Training, Deep Neural Networks, Systems for Machine Learning, Weight Initialization, Hyperparameter Optimization, Distribuerad djupinlärning, Ablationsstudier, Dataparallell träning, Djupa neurala nätverk, System för maskininlärning, Viktinitialisering, Hyperparameteroptimering, Computer Sciences, Datavetenskap (datalogi), Doctoral thesis, comprehensive summary, info:eu-repo/semantics/doctoralThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-360720
TRITA-EECS-AVL ; 2025:28

Advances in Parallel, Distributed Computing : First International Conference on Parallel, Distributed Computing Technologies and Applications, PDCTA 2011, Tirunelveli, Tamil Nadu, India, September 23-25, 2011, Proceedings

Authors: Dhinaharan Nagamalai Eric Renault Murugan Dhanuskodi

Resource Type: eBook.

Subjects: Computer networks, Application software, Artificial intelligence, Algorithms, Information storage and retrieval systems, Software engineering

Categories: COMPUTERS / Networking / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / System Administration / Storage & Retrieval, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Programming / Algorithms

Advances in Parallel and Distributed Computing and Ubiquitous Services : UCAWSN & PDCAT 2015

Authors: James J. (Jong Hyuk) Park Gangman Yi Young-Sik Jeong et al.

Resource Type: eBook.

Subjects: Electronic data processing--Distributed processing--Congresses, Parallel processing (Electronic computers)--Congresses, Ubiquitous computing--Congresses

Categories: COMPUTERS / Networking / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Security / General, MATHEMATICS / Probability & Statistics / General, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Telecommunications

Parallel and Distributed Computing, Applications and Technologies

Authors: Yupeng Li Yong Zhang Jianliang Xu

Resource Type: eBook.

Subjects: Parallel processing (Electronic computers)--Congresses, Electronic data processing--Distributed processing--Congresses, Artificial intelligence

Categories: COMPUTERS / Computer Science, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Architecture, COMPUTERS / Networking / General, COMPUTERS / Hardware / General

Parallel VLSI neural system design for time-delay speech recognition computing

Authors: David Zhang

Source: Proceedings. Advances in Parallel and Distributed Computing. :12-17

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/apdc/apdc1997.html#Zhang97
https://ieeexplore.ieee.org/document/574008/

Efficiently localizing system anomalies for cloud infrastructures: a novel Dynamic Graph Transformer based Parallel Framework

Authors: Hongxia He Xi Li Peng Chen et al.

Source: Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-16 (2024)

Subject Terms: Cloud infrastructures, Anomaly detection, Transformer, Graph neural network, Spatio-temporal feature, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2192-113X

Access URL: https://doaj.org/article/0620c2e37c2b4b0495487cf36b582c6e

Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing

Authors: Ngo, Mao V. Luo, Tie Chaouchi, Hakima et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Networking and Internet Architecture, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2004.06896

Distributed Bayesian optimisation framework for deep neuroevolution.

Authors: Chandra, Rohitash Tiwari, Animesh

Source: Neurocomputing. Jan2022, Vol. 470, p51-65. 15p.

Subject Terms: *ARTIFICIAL neural networks, *DEEP learning, *CONVOLUTIONAL neural networks, *DISTRIBUTED computing, *REINFORCEMENT learning, *MACHINE learning

A characterization of soft-error sensitivity in data-parallel and model-parallel distributed deep learning.

Authors: Rojas, Elvis Pérez, Diego Meneses, Esteban

Source: Journal of Parallel & Distributed Computing. Aug2024, Vol. 190, pN.PAG-N.PAG. 1p.

Subject Terms: *DEEP learning, *SOFT errors, *ARTIFICIAL neural networks, *ARTIFICIAL intelligence, *ELECTRONIC equipment, *COMPUTING platforms

Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules

Authors: Choi, Jong Youl Zhang, Pei Mehta, Kshitij et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Physics - Chemical Physics, Physics - Computational Physics, 68Q85, 68M14, 68W15, 68W15, I.2.11, text

URL: http://arxiv.org/abs/2207.11333

Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities

Authors: Beznosikov, Aleksandr Takáč, Martin Gasnikov, Alexander

Index Terms: Mathematics - Optimization and Control, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Computer Science and Game Theory, Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2302.07615

Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules

Authors: Jong Youl Choi Pei Zhang Kshitij Mehta et al.

Source: Journal of Cheminformatics, Vol 14, Iss 1, Pp 1-10 (2022)

Subject Terms: Graph neural networks, Distributed data parallelism, Surrogate models, Atomic modeling, Molecular dynamics, HOMO-LUMO gap, Information technology, T58.5-58.64, Chemistry, QD1-999

File Description: electronic resource

Relation: https://doaj.org/toc/1758-2946

Access URL: https://doaj.org/article/629e18f0b5ff4724a2df015181dbb21a

A bidirectional DNN partition mechanism for efficient pipeline parallel training in cloud

Authors: Lingyun Cui Zhihao Qu Guomin Zhang et al.

Source: Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-12 (2023)

Subject Terms: Pipeline model parallelism, Deep neural network, Distributed system, Cloud data center, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2192-113X

Access URL: https://doaj.org/article/4630a0351c934f178cd0461203f815ba

Leveraging productivity indicators for anomaly detection in swine breeding herds with unsupervised learning.

Authors: Pedro Mil-Homens, Mafalda Wang, Chong Trevisan, Giovani et al.

Source: Frontiers in Veterinary Science. 2025, p1-16. 16p.