Výsledky vyhledávání - sequential and ((parallel computational) OR (parallel computing)) complexity

Speeding Up Paulson's Procedure for Large-Scale Problems Using Parallel Computing.

Autoři: Zhong, Ying Liu, Shaoxuan Luo, Jun a další

Zdroj: INFORMS Journal on Computing. Winter2022, Vol. 34 Issue 1, p586-606. 21p.

Témata: *PARALLEL programming, *OPERATIONS research, *COMPUTATIONAL complexity, *RANDOM numbers, *PROBLEM solving, *PARALLEL processing

Research on Acceleration Methods for Hydrodynamic Models Integrating a Dynamic Grid System, Local Time Stepping, and GPU Parallel Computing.

Autoři: Ping, Yang Xu, Hao Song, Lixiang a další

Zdroj: Water (20734441); Sep2025, Vol. 17 Issue 18, p2662, 13p

Témata: HYDRODYNAMICS, FLOOD forecasting, PARALLEL programming, OPTIMIZATION algorithms, DIGITAL twin, GRIDS (Cartography), MECHANICAL efficiency

Enhancing transcriptomic analysis by influencing de novoassembly using parallel computing

Autoři: Zaideen, Nur Hafizah Mohamed, Muhammad Azman Habeeb Abdul Hamid, Nor Asilah Wati a další

Témata: Article, PeerReviewed

URL: http://psasir.upm.edu.my/id/eprint/117603/1/117603.pdf
http://psasir.upm.edu.my/id/eprint/117603/
https://ijic.utm.my/index.php/ijic/article/view/483
http://psasir.upm.edu.my/id/eprint/117603
https://ijic.utm.my/index.php/ijic/article/view/483
10.11113/ijic.v14n2.483

Efficient and Scalable Parallel Graph Algorithms

Autoři: Wang, Letong

Témata: Computer science, Computer engineering, Graph Theory, Parallel Algorithms, Parallel Computing

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/775830dx
https://escholarship.org/content/qt775830dx/qt775830dx.pdf

On the Parallel Complexity of Multilevel Monte Carlo in Stochastic Gradient Descent

Autoři: Ishikawa, Kei

Témata: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2310.02402

Accelerating Multiple Sequence Alignments Using Parallel Computing.

Autoři: Bani Baker, Qanita Al-Hussien, Ruba A. Al-Ayyoub, Mahmoud

Zdroj: Computation; Feb2024, Vol. 12 Issue 2, p32, 17p

Témata: PARALLEL programming, SEQUENCE alignment, DYNAMIC programming, ALGORITHMS

Hierarchical Parallelization of Rigid Body Simulation with Soft Blocking Method on GPU.

Autoři: Tomii, Rikuya Narumi, Tetsu

Zdroj: Computation; Nov2025, Vol. 13 Issue 11, p250, 26p

Témata: RIGID body mechanics, PARALLEL processing, CONSTRAINT programming, MATHEMATICAL optimization, LOAD balancing (Computer networks), HIERARCHICAL clustering (Cluster analysis)

Monte Carlo methods in practice and efficiency enhancements via parallel computation

Autoři: Marie D'Avigneau, Alix Singh, Sumeetpal Sidhu

Přispěvatelé: Marie D'Avigneau, Alix Singh, Sumeetpal Sidhu

Témata: Monte Carlo, Sequential Monte Carlo, SMC, Markov Chain Monte Carlo, MCMC, Particle filtering, Particle Smoothing, Anytime Monte Carlo, Approximate Bayesian Computation, Parallel Tempering, Reversible Jump Markov Chain Monte Carlo, Reversible Jump MCMC, RJ-MCMC, Single Molecule Microscopy, Fluorescence Microscopy

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.841280

High-Level Programming of FPGA-Accelerated Systems with Parallel Patterns

Autoři: Birath, Björn Ernstsson, August Tinnerholm, John a další

Zdroj: International journal of parallel programming. 52:253-273

Témata: Algorithmic skeletons, Reconfigurable computing, FPGA, Single-source heterogeneous programming

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-204318

Parallel RANSAC method for streaming data from LiDAR sensors

Zdroj: Scientific Bulletin of UNFU; Vol 34 No 3 (2024): Scientific Bulletin of UNFU; 110-116; 2519-2477; 1994-7836; 10.36930/403403

Témata: clustering, sensor, parallelization, three-dimensional models, acceleration, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: https://nv.nltu.edu.ua/index.php/journal/article/view/2603
https://nv.nltu.edu.ua/index.php/journal/article/view/2603/2610
https://nv.nltu.edu.ua/index.php/journal/article/view/2603/2610

A parallel boundary conforming method on adaptive moving meshes for multiphase flows

Autoři: Yan, Shidi Li, Jie

Přispěvatelé: Yan, Shidi Li, Jie

Témata: 004, parallel computing, mesh, cfd

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.834455

Parallel agent-based simulation of individual-level spatial interactions within a multicore computing environment.

Autoři: Gong, Zhaoya Tang, Wenwu Bennett, DavidA. a další

Zdroj: International Journal of Geographical Information Science. Jun2013, Vol. 27 Issue 6, p1152-1170. 19p. 1 Diagram, 5 Charts, 8 Graphs.

Témata: *Multicore processors, Multiagent systems, Parallel computers -- Memory systems, Technological complexity, Spatial data infrastructures

A fast Hough Transform algorithm for straight lines detection in an image using GPU parallel computing with CUDA-C.

Autoři: Yam-Uicab, R. Lopez-Martinez, J. Trejo-Sanchez, J. a další

Zdroj: Journal of Supercomputing. Nov2017, Vol. 73 Issue 11, p4823-4842. 20p.

Témata: *PARALLEL processing, *GRAPHICS processing units, *HOUGH transforms, *CUDA (Computer architecture), *COMPUTATIONAL complexity

Computational complexity issues in synthesis of simple distributed detection networks.

Autoři: Rao, N.S.V.¹

Zdroj: IEEE Transactions on Systems, Man & Cybernetics. 1991, Vol. 21 Issue 5, p1071-1081. 11p.

Approximation of Metro Water District Basin Using Parallel Computing of Emulator Based Spatial Optimization (PCESO).

Autoři: Budamala, Venkatesh Mahindrakar, Amit Baburao

Zdroj: Water Resources Management; Jan2020, Vol. 34 Issue 1, p121-137, 17p

Témata: WATER districts, PARALLEL programming, WATER supply, WATER conservation, WATER distribution, SOIL sampling, WATERSHED management, GEODIVERSITY

Spiking Neural P Systems with a Generalized Use of Rules.

Autoři: Xingyi Zhang Bangju Wang Linqiang Pan

Zdroj: Neural Computation. 2014, Vol. 26 Issue 12, p2925-2943. 19p. 5 Diagrams.

Témata: *PARALLEL computers, *COMPUTATIONAL complexity, *GENERALIZATION, *DISTRIBUTED computing, *NEURONS, *SET theory

Comparing the performance of xgboost, Gradient Boosting and GBLUP models under different genomic prediction scenarios.

Autoři: Ghafouri-Kesbi, Farhad

Zdroj: Journal of Livestock Science & Technologies (JLST); 2024, Vol. 12 Issue 1, p31-37, 7p

Témata: GENOMES, BOOSTING algorithms, PARALLEL computers, PARALLEL programming, SINGLE nucleotide polymorphisms, COMPUTERS, SUPPLY & demand, DATA analysis, GENOTYPES

A Parallel Computing Approach to Gene Expression and Phenotype Correlation for Identifying Retinitis Pigmentosa Modifiers in Drosophila.

Autoři: Metah, Chawin Khalifa, Amal Palu, Rebecca

Zdroj: Computation; Jun2023, Vol. 11 Issue 6, p118, 17p

Témata: GENE expression, RETINITIS pigmentosa, PARALLEL programming, GENOME-wide association studies, DROSOPHILA

Method for a Parallel Solution of a Combined Economic Emission Dispatch Problem.

Autoři: Krishnamurthy, Senthil Tzoneva, Raynitchka Apostolov, Alexander

Zdroj: Electric Power Components & Systems. 2017, Vol. 45 Issue 4, p393-409. 17p.

Témata: *POWER system simulation, *PARALLEL computers, *PARTICLE swarm optimization, *SOFTWARE development tools, *PROBLEM solving, *COMPUTER buses

On the programmability of heterogeneous massively-parallel computing systems

Autoři: Gelado Fernández, Isaac

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Navarro, Nacho, Hwu, Wen-mei William

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: heterogeneous parallel systems, NVAMA, ADSM, programability, HPE

Popis souboru: application/pdf

Přístupová URL adresa: http://www.tdx.cat/TDX-0131111-104236
http://hdl.handle.net/10803/6031
https://dx.doi.org/10.5821/dissertation-2117-93345