Výsledky vyhledávání - Parallel Computing and Performance Optimization

Heterogeneous Parallel Computing and Performance Optimization for DSMC/PIC Coupled Simulation Based on MPI+CUDA

Autoři: LIN Yongzhen, XU Chuanfu, QIU Haozhong, WANG Qingsong, WANG Zhenghua, YANG Fuxiang, LI Jie

Zdroj: Jisuanji kexue, Vol 51, Iss 9, Pp 31-39 (2024)

Témata: coupled dsmc/pic, particle simulation, heterogeneous parallel, mpi+cuda, Computer software, QA76.75-76.765, Technology (General), T1-995

Popis souboru: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2024-51-9-31.pdf; https://doaj.org/toc/1002-137X

Přístupová URL adresa: https://doaj.org/article/c032746a789d4a53909bf25846952dcb

Research on the Application and Performance Optimization of GPU Parallel Computing in Concrete Temperature Control Simulation

Autoři: Xuerui Zheng Jiping Jin Yajun Wang a další

Zdroj: Buildings, Vol 13, Iss 10, p 2657 (2023)

Témata: concrete, simulation computing, GPU, parallel computing, CUDA Fortran, shared memory, Building construction, TH1-9745

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2075-5309/13/10/2657; https://doaj.org/toc/2075-5309

Přístupová URL adresa: https://doaj.org/article/f04d8d6df4a64ef8819f59cf3f75c946

Performance Optimization in Three-Modality Biometric Verification using Heterogeneous CPU-GPU Computation

Autoři: Bopatriciat Boluma Mangata Pierre Tshibanda wa Tshibanda Guy-Patient Mbiya Mpoyi a další

Zdroj: Journal of Innovation Information Technology and Application, Vol 6, Iss 2, Pp 78-91 (2024)

Témata: biometrics, parallel computing, parallel for, parallel for each, biometric recognition system, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://ejournal.pnc.ac.id/index.php/jinita/article/view/2286; https://doaj.org/toc/2716-0858; https://doaj.org/toc/2715-9248

Přístupová URL adresa: https://doaj.org/article/499ad05674b44fa5a36c05556aa52e58

Performance Optimization of Multithreaded 2D Fast Fourier Transform on Multicore Processors Using Load Imbalancing Parallel Computing Method

Autoři: Semyon Khokhriakov Ravi Reddy Manumachu Alexey Lastovetsky

Zdroj: IEEE Access, Vol 6, Pp 64202-64224 (2018)

Témata: Data partitioning, fast Fourier transform, load balancing, multicore, performance optimization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/8515025/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/49ef654b57e8464480353840460506e2

The Impact of Different Parallel Strategies on the Performance of Kriging-Based Efficient Global Optimization Algorithms

Autoři: Hang Fu Qingyu Wang Takuji Nakashima a další

Zdroj: Applied Sciences, Vol 15, Iss 15, p 8465 (2025)

Témata: kriging surrogate models, efficient global optimization, parallel point infills, performance research, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/15/8465; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/f0c8335576714919b3eb16fe3fd7c9f3

Optimization of network performance of distributed storage system for biomechanical big data based on cloud computing.

Autoři: Wang, Lin

Zdroj: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 5, p1-13, 13p

Témata: NETWORK performance, CLOUD computing, BANDWIDTH allocation, DATA management, DATA transmission systems, CLOUD storage, BIG data, FLOW control (Data transmission systems)

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

The Impact of Different Parallel Strategies on the Performance of Kriging-Based Efficient Global Optimization Algorithms.

Autoři: Fu, Hang Wang, Qingyu Nakashima, Takuji a další

Zdroj: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 15, p8465, 25p

Témata: KRIGING, GLOBAL optimization, BENCHMARK testing (Engineering), SAMPLING (Process), MATHEMATICAL optimization

Memory Optimization Method for Parallel Computing Framework Based on Distributed Dataset

Autoři: XIA Libin, LIU Xiaoyu, JIANG Xiaowei, SUN Gongxing

Zdroj: Jisuanji gongcheng, Vol 49, Iss 4, Pp 43-51 (2023)

Témata: memory computing, parallel computing, memory optimization, spark framework, message passing interface(mpi), Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20230405.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/1dbe2dc3ce7c4e8c91cc2ff5516f4d44

Optimizing I/O Performance of HPC Applications with Autotuning

Autoři: Behzad, Babak Byna, Surendra Prabhat a další

Zdroj: ACM Transactions on Parallel Computing. 5(4)

Témata: Distributed Computing and Systems Software, Information and Computing Sciences, HPC, storage, I/O, autotuning, performance optimization, parallel file systems, I/O tuning, I/O performance

Přístupová URL adresa: https://escholarship.org/uc/item/0fg9q0t9

Distributed Load-Balancing Method for CCA Parallel Component Applications

Autoři: Lei Guo Xin Guo Feiya Lv

Zdroj: Algorithms, Vol 18, Iss 4, p 211 (2025)

Témata: parallel component, performance optimization, load-balancing, parallel computing, resource management, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1999-4893/18/4/211; https://doaj.org/toc/1999-4893

Přístupová URL adresa: https://doaj.org/article/8c5bc27bcb1e4191bfdb2a8ddaf5bfb4

Optimization of maximum parallel K-means algorithm based on GPU cluster.

Autoři: He, Qinlu Zhang, Fan Bian, Genqing a další

Zdroj: Cluster Computing. 2025, Vol. 28 Issue 8, p1-25. 25p.

Development and performance optimization of a parallel computing infrastructure for an unstructured-mesh modelling framework.

Autoři: Liu, Zhuang Zhang, Yi Huang, Xiaomeng a další

Zdroj: Geoscientific Model Development Discussions. 9/29/2020, p1-32. 32p.

Témata: *PARALLEL programming, *EXAMINATIONS, *SURGICAL meshes

Research on the Application and Performance Optimization of GPU Parallel Computing in Concrete Temperature Control Simulation.

Autoři: Zheng, Xuerui Jin, Jiping Wang, Yajun a další

Zdroj: Buildings (2075-5309); Oct2023, Vol. 13 Issue 10, p2657, 22p

Témata: TEMPERATURE control, PARALLEL programming, SIMULATION software, GRAPHICS processing units, MATRIX multiplications, PARALLEL algorithms, CONCRETE

Performance optimization and evaluation for parallel processing of big data in earth system models.

Autoři: Wang, Yuzhu Hao, Huiqun Zhang, Junqiang a další

Zdroj: Cluster Computing. Jan2019 Supplement 1, Vol. 22 Issue 1, p2371-2381. 11p.

Témata: *PARALLEL processing, *BIG data, *HIGH performance computing, *ELECTRONIC data processing, *PERFORMANCE evaluation, *METEOROLOGICAL research

Chapter Numerical Wave Tanks for Wave Energy Converters Using High-Performance Computing

Autoři: Abdollahpour, Milad Domenichini, Federico Cappietti, Lorenzo

Témata: Numerical Wave Tanks (NWTs), CFD, OpenFOAM, Parallelization, High-Performance Computing (HPC)

Popis souboru: application/pdf

Relation: Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques

Přístupová URL adresa: https://library.oapen.org/handle/20.500.12657/104833

Accelerating Decision-Making in AI: Parallelizing Monte Carlo Tree Search for Connect 4 Using CPU and GPU.

Autoři: Nayak, Anirudh Nissimagoudar, P.C. Revankar, Rutvi a další

Zdroj: Procedia Computer Science. 2025, Vol. 263, p82-89. 8p.

Témata: Artificial intelligence, Decision making, Graphics processing units, Board games, Monte Carlo method, Central processing units, Operations research, Parallel algorithms

Enabling Dynamic Selection of Implementation Variants in Component-Based Parallel Programming for Heterogeneous Systems

Autoři: Memeti, Suejb, 1988

Zdroj: Euro-Par 2023 Lecture Notes in Computer Science (LNCS). :219-231

Témata: component-based programming, heterogeneous parallel computing systems, implementation variant selection, performance optimization, source-to-source compilation, Benchmarking, Codes (symbols), Optimal systems, Program compilers, Component based, Heterogeneous parallel computing, Heterogeneous parallel computing system, Heterogeneous systems, Parallel computing system, Performance optimizations, Variant selection, Parallel programming

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-26215

Leveraging parallel spatio-temporal computing for crime analysis in large datasets: analyzing trends in near-repeat phenomenon of crime in cities.

Autoři: Ajayakumar, Jayakrishnan Shook, Eric

Zdroj: International Journal of Geographical Information Science. Sep2020, Vol. 34 Issue 9, p1683-1707. 25p.

Témata: Crime analysis, Crime, Utilities (Computer programs), Parallel programming, High performance computing, Parallel algorithms, Mathematical optimization

Multi-Criteria Genetic Algorithm for Optimizing Distributed Computing Systems in Neural Network Synthesis.

Autoři: Tynchenko, Valeriya V. Malashin, Ivan Kurashkin, Sergei O. a další

Zdroj: Future Internet. May2025, Vol. 17 Issue 5, p215. 36p.

Témata: *Distributed computing, *Artificial neural networks, Evolutionary algorithms, Multi-objective optimization, Parallel algorithms