Search Results - Manager–worker parallelization algorithms

Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem

Authors: L.G.B. Ruiz M.I. Capel M.C. Pegalajar

Source: Digibug. Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)

Subject Terms: Manager–worker parallelization algorithms, Energy efficiency, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Time series prediction, Evolutionary algorithms, 7. Clean energy, Neural networks

Access URL: https://dblp.uni-trier.de/db/journals/asc/asc76.html#RuizCC19
https://www.sciencedirect.com/science/article/pii/S1568494618307178
https://hdl.handle.net/10481/87119

Manager–worker‐based model for the parallelization of quantum Monte Carlo on heterogeneous and homogeneous networks

Authors: Michael T. Feldmann David R. Kent William A. Goddard et al.

Source: Journal of Computational Chemistry. 29:8-16

Subject Terms: Models, Statistical, 0103 physical sciences, Quantum Theory, Monte Carlo Method, 01 natural sciences, Algorithms, 0104 chemical sciences

Access URL: https://pubmed.ncbi.nlm.nih.gov/17918283
https://dblp.uni-trier.de/db/journals/jcc/jcc29.html#FeldmannCKMG08
http://europepmc.org/abstract/MED/17918283
http://www.osti.gov/scitech/biblio/946564-manager-worker-based-model-parallelization-quantum-monte-carlo-heterogeneous-homogeneous-networks
https://onlinelibrary.wiley.com/doi/10.1002/jcc.20836
https://pubmed.ncbi.nlm.nih.gov/17918283/
https://doi.org/10.1002/jcc.20836

Manager-worker-based model for the parallelization of Quantum Monte Carlo on heterogeneous and homogeneous networks.

Contributors: Feldmann, Michael [California Institute of Technology, Pasadena, CA]

Source: Proposed for publication in the Journal of Computational Chemistry.

File Description: Medium: X; Size: 9 p.

Access URL: http://www.osti.gov/scitech/biblio/946564

Manager–worker-based model for the parallelization of quantum Monte Carlo on heterogeneous and homogeneous networks.

Authors: Feldmann, Michael T. Cummings, Julian C. Kent IV, David R. et al.

Source: Journal of Computational Chemistry; 2008, Vol. 29 Issue 1, p8-16, 9p, 8 Graphs

Subject Terms: ALGORITHMS, QUANTUM theory, MONTE Carlo method, PARALLEL computers, COMPUTERS

Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem.

Authors: Ruiz, L.G.B. Capel, M.I. Pegalajar, M.C.

Source: Applied Soft Computing. Mar2019, Vol. 76, p356-368. 13p.

Subject Terms: Recurrent neural networks, Energy consumption, Parallel algorithms, Energy consumption of buildings

Company/Entity: Universidad de Granada

Manager-worker-based model for the parallelization of quantum monte carlo on heterogeneous and homogeneous networks

Authors: Michael T. Feldmann Julian C. Cummings David R. Kent Iv et al.

Contributors: Michael T. Feldmann Julian C. Cummings David R. Kent Iv et al.

Source: http://www.wag.caltech.edu/publications/sup/pdf/738.pdf.

Subject Terms: Key words, Quantum Monte Carlo, parallelization algorithm, parallel efficiency, initialization, decorrelation

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.472.2758; http://www.wag.caltech.edu/publications/sup/pdf/738.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.472.2758
http://www.wag.caltech.edu/publications/sup/pdf/738.pdf

Parallelization of classification algorithms for medical imaging on a cluster computing system.

Authors: Daggett, T. Greenshields, I.R.

Source: Proceedings 11th IEEE Symposium on Computer-Based Medical Systems (Cat No98CB36237); 1998, p305-310, 6p

Scheduling of tasks in the parareal algorithm

Authors: Aubanel, Eric¹ aubanel@unb.ca

Source: Parallel Computing. Mar2011, Vol. 37 Issue 3, p172-182. 11p.

Subject Terms: *COMPUTER scheduling, *ALGORITHMS, *GRID computing, *COMPUTER networks, *PARTIAL differential equations, *MATHEMATICAL decomposition, *NUMERICAL analysis

IceCube SkyDriver – A SaaS Solution for Event Reconstruction using the Skymap Scanner.

Authors: Evans-Jacquez, Eric Schultz, David Bockelman, Brian et al.

Source: EPJ Web of Conferences; 5/6/2024, Vol. 295, p1-8, 8p

Subject Terms: NEUTRINOS, TELESCOPES, WORKFLOW, PIXELS, DIGITAL images

Near Real-Time Anomaly Event Localization by Pressure Drop Interpolation, Clustering, and Parallel Optimization of Hydraulic Model Calibration.

Authors: Zhang, Ashley Hui Cao, Fred Chew, Alvin Wei Ze et al.

Source: Journal of Water Resources Planning & Management; Jan2025, Vol. 151 Issue 1, p1-13, 13p

Subject Terms: PRESSURE drop (Fluid dynamics), WATER distribution, HYDRAULIC models, MESSAGE passing (Computer science), WATER utilities

A parallel and balanced SVM algorithm on spark for data-intensive computing.

Authors: Li, Jianjiang Shi, Jinliang Liu, Zhiguo et al.

Source: Intelligent Data Analysis; 2023, Vol. 27 Issue 4, p1065-1086, 22p

Subject Terms: SUPPORT vector machines, DATA mining, ALGORITHMS, FACE perception

Finding Common RNA Secondary Structures: A Case Study on the Dynamic Parallelization of a Data-driven Recurrence.

Authors: Stewart, Steven T. Aubanel, Eric Evans, Patricia A.

Source: 2012 IEEE 26th International Parallel & Distributed Processing Symposium Workshops & PhD Forum; 1/ 1/2012, p715-724, 10p

Accelerated point set registration method.

Authors: Raettig, Ryan M Anderson, James D Nykl, Scott L et al.

Source: Journal of Defense Modeling & Simulation; Oct2024, Vol. 21 Issue 4, p421-440, 20p

An ADMM-Based Distributed Optimization Method for Solving Security-Constrained Alternating Current Optimal Power Flow.

Authors: Gholami, Amin Sun, Kaizhao Zhang, Shixuan et al.

Source: Operations Research; Nov/Dec2023, Vol. 71 Issue 6, p2045-2060, 16p

Subject Terms: ELECTRIC power, ELECTRIC power systems, ELECTRICAL load, OPTIMIZATION algorithms, OPERATIONS research

Company/Entity: NATIONAL Science Foundation (U.S.), UNITED States. Defense Advanced Research Projects Agency

Parallel beamlet dose calculation via beamlet contexts in a distributed multi‐GPU framework.

Authors: Neph, Ryan Ouyang, Cheng Neylon, John et al.

Source: Medical Physics; Aug2019, Vol. 46 Issue 8, p3719-3733, 15p

Subject Terms: MONTE Carlo method, TRAJECTORY optimization, MAGNITUDE (Mathematics), MATHEMATICAL optimization, DISTRIBUTED computing, PRODUCTION planning

New Quantum Monte Carlo Algorithms to Efficiently Utilize Massively Parallel Computers

Authors: Kent, David Randall, IV, Kent, David Randall, IV

Index Terms: Thesis, NonPeerReviewed

URL: https://thesis.library.caltech.edu/748/
https://resolver.caltech.edu/CaltechETD:etd-02252003-134943
https://thesis.library.caltech.edu/748
https://resolver.caltech.edu/CaltechETD:etd-02252003-134943
CaltechETD:etd-02252003-134943
10.7907/V64A-V618

GPGPU based Multi-hive ABC Algorithm for Constrained Global Optimization Problems.

Authors: Mane, Sandeep U. Adamuthe, Amol C. Pawar, Aprupa S.

Source: EAI Endorsed Transactions on the Energy Web; 2020, Issue 28, p1-9, 9p

Subject Terms: ALGORITHMS, GLOBAL optimization, OPTIMALITY theory (Linguistics), GRAPHICS processing units, BENCHMARKING (Management)

Parallel Implementation of EDAs Based on Probabilistic Graphical Models.

Authors: Mendiburu, Alexander Lozano, Jose A. Miguel-Alonso, José

Source: IEEE Transactions on Evolutionary Computation; Aug2005, Vol. 9 Issue 4, p406-423, 18p, 4 Diagrams, 12 Charts, 8 Graphs

Subject Terms: ALGORITHMS, COMPUTERS, COMPUTER programming, PARALLEL processing, PARALLEL computers

Pelegant: A Parallel Accelerator Simulation Code for Electron Generation and Tracking.

Authors: Wang, Y. Borland, M.

Source: AIP Conference Proceedings; 2006, Vol. 877 Issue 1, p241-247, 7p, 2 Diagrams, 3 Graphs

Subject Terms: COMPUTER simulation, PARTICLE accelerators, SYNCHROTRON radiation, BEAM emittance (Nuclear physics), ALGORITHMS, RANDOM numbers, PARALLEL computers

Dynamic parallelization for RNA structure comparison

Authors: Patricia A. Evans Eric Snow Eric Aubanel

Source: 2009 IEEE International Symposium on Parallel & Distributed Processing. :1-8

Subject Terms: 0301 basic medicine, 03 medical and health sciences

Access URL: http://www.hicomb.org/papers/HICOMB2009-05.pdf
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005160926
https://dblp.uni-trier.de/db/conf/ipps/ipdps2009.html#SnowAE09
http://ieeexplore.ieee.org/document/5160926/
http://www.hicomb.org/papers/HICOMB2009-05.pdf