Výsledky vyhľadávania - Parallel and Distributed Computing Framework

Performance of explicit and IMEX MRI multirate methods on complex reactive flow problems within modern parallel adaptive structured grid frameworks

Autori: Loffeld, John J Nonaka, Andy Reynolds, Daniel R a ďalší

Zdroj: The International Journal of High Performance Computing Applications. 38(4)

Predmety: Information and Computing Sciences, Applied Computing, multirate integration, multirate infinitesimal schemes, spectral deferred corrections, structured grids, combustion, Distributed Computing, Applied computing, Distributed computing and systems software

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/27z4q98w
https://escholarship.org/content/qt27z4q98w/qt27z4q98w.pdf

DyG-DPCD: A Distributed Parallel Community Detection Algorithm for Large-Scale Dynamic Graphs

Autori: Sattar, Naw Safrin Ibrahim, Khaled Z Buluc, Aydin a ďalší

Zdroj: International Journal of Parallel Programming. 53(1)

Predmety: 4605 Data Management and Data Science (for-2020), 4606 Distributed Computing and Systems Software (for-2020), 46 Information and Computing Sciences (for-2020), Bioengineering (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), 0803 Computer Software (for), 0805 Distributed Computing (for), Distributed Computing (science-metrix), 4606 Distributed computing and systems software (for-2020)

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/7bc7c5tk
https://escholarship.org/content/qt7bc7c5tk/qt7bc7c5tk.pdf

A DLT-Aware Performance Evaluation Framework for Virtual-Core Speedup Modeling.

Autori: Xiang, Zile Robertazzi, Thomas G.

Zdroj: Future Internet. Nov2025, Vol. 17 Issue 11, p519. 17p.

Predmety: *Parallel processing, Parallel computers, Resource allocation, Load balancing (Computer networks), Mathematical models, Virtual machine systems, Scheduling, Computer performance

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

Autori: Neph, Ryan Ouyang, Cheng Neylon, John a ďalší

Zdroj: Medical Physics. 46(8)

Predmety: Medical and Biological Physics, Physical Sciences, Bioengineering, Computer Graphics, Monte Carlo Method, Phantoms, Imaging, Radiation Dosage, Radiometry, Radiotherapy Dosage, Radiotherapy Planning, Computer-Assisted, Radiotherapy, Intensity-Modulated, beamlet, convolution, distributed computing, dose calculation, GPU, GPU, Other Physical Sciences, Biomedical Engineering, Oncology and Carcinogenesis, Nuclear Medicine & Medical Imaging, Biomedical engineering, Medical and biological physics

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/6j562629
https://escholarship.org/content/qt6j562629/qt6j562629.pdf

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

Autori: Tynchenko, Valeriya V. Malashin, Ivan Kurashkin, Sergei O. a ďalší

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

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

Research on parallel distributed clustering algorithm applied to cutting parameter optimization

Autori: Wei, X. Sun, Q. Liu, X. a ďalší

Zdroj: The International Journal of Advanced Manufacturing Technology. 120(11-12):7895-7904

Predmety: Big data, Cutting parameter optimization, Data mining, Distributed clustering, MapReduce framework, T.K-means algorithm, Aluminum alloys, K-means clustering, Metadata, Milling (machining), Parameter estimation, Surface roughness, Ternary alloys, Titanium alloys, Vanadium alloys, Computing power, Cutting parameters, Cutting parameters optimizations, Data mining technology, Distributed clustering algorithm, Intelligent Manufacturing, Mapreduce frameworks, Massive data, TK-mean algorithm

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-323499

A parallel distributed computing framework for Newton–Raphson load flow analysis of large interconnected power systems

Autori: R. Sreerama Kumar E. Chandrasekharan

Zdroj: International Journal of Electrical Power & Energy Systems. 73:1-6

Predmety: 1. No poverty, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://www.sciencedirect.com/science/article/abs/pii/S0142061515001556

Rescheduling JIT compilation based on jobs of parallel distributed computing framework

RESCHEDULING JIT COMPILATION BASED ON JOBS OF PARALLEL DISTRIBUTED COMPUTING FRAMEWORK

High-Performance Mobility Simulation: Implementation of a Parallel Distributed Message-Passing Algorithm for MATSim †.

Autori: Laudan, Janek Heinrich, Paul Nagel, Kai

Zdroj: Information. Feb2025, Vol. 16 Issue 2, p116. 26p.

Predmety: *Algorithms, Parallel programming, Distributed algorithms, Traffic flow, Prototypes

Python framework for parallelism on a cluster

Autori: Pinto, Miguel Morato Roxo Ribeiro Duarte, Vítor RUN

Prispievatelia: Pinto, Miguel Morato Roxo Ribeiro Duarte, Vítor RUN

Predmety: Distributed Parallel Programming, Python, Torc_py, Scoop, Dask, Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática

Popis súboru: application/pdf

Dostupnosť: http://hdl.handle.net/10362/178006

TunIO: An AI-powered Framework for Optimizing HPC I/O

Autori: Rajesh, Neeraj Bateman, Keith Bez, Jean Luca a ďalší

Zdroj: PROCEEDINGS 2024 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM, IPDPS 2024. 00

Predmety: 4606 Distributed Computing and Systems Software (for-2020), 46 Information and Computing Sciences (for-2020), AI-powered I/O tuning, storage stack tuning, autotuning, source code transformations, and I/O performance optimization

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/15p4g7j7
https://escholarship.org/content/qt15p4g7j7/qt15p4g7j7.pdf

PF-OLA: a high-performance framework for parallel online aggregation

Autori: Qin, Chengjie Rusu, Florin

Zdroj: Distributed and Parallel Databases. 32(3)

Predmety: 4606 Distributed Computing and Systems Software (for-2020), 46 Information and Computing Sciences (for-2020), Sampling, Online estimation, Parallel processing, Approximate algorithms, User-defined aggregates (UDA), cs.DB, cs.DB, cs.DC, 0804 Data Format (for), 0805 Distributed Computing (for), Information Systems (science-metrix), 4605 Data management and data science (for-2020), 4606 Distributed computing and systems software (for-2020)

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/23m6k88x
https://escholarship.org/content/qt23m6k88x/qt23m6k88x.pdf

Unlocking the Potential: Performance Portability of Graph Algorithms on Kokkos Framework

Autori: Arifuzzaman, Shaikh Arikan, Hasan S Faysal, MAM a ďalší

Predmety: Distributed Computing and Systems Software, Information and Computing Sciences, Networking and Information Technology R&D (NITRD), Terms Graph algorithms, performance, portability, linear algebra, large graphs, sparse graphs, GPU

Prístupová URL adresa: https://escholarship.org/uc/item/5xp4g4js

Coded Parallel Transmission for Half-Duplex Distributed Computing.

Autori: Zai, Qixuan Yuan, Kai Wu, Youlong

Zdroj: Information. Jul2022, Vol. 13 Issue 7, p342-342. 13p.

Predmety: *Distributed computing, *Computer systems, Linear network coding, Parallel programming

Big Data Storage and Query Optimization Based on Distributed Computing Algorithm.

Autori: Jiang, Qiuming Wang, Yanting

Zdroj: Procedia Computer Science. 2025, Vol. 261, p799-805. 7p.

Predmety: Information storage & retrieval systems, Electronic data processing, Process capability, Distributed computing, Information retrieval

Distributed Memory Parallel Markov Random Fields Using Graph Partitioning

Autori: Heinemann, C Perciano, T Ushizima, D a ďalší

Zdroj: 2018-January

Predmety: 40 Engineering (for-2020), 46 Information and Computing Sciences (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), 4605 Data Management and Data Science (for-2020), 4606 Distributed Computing and Systems Software (for-2020), Bioengineering (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Markov Random Fields, image segmentation, parallel parameter estimation/optimization, distributed memory, material science, Markov Random Fields, Image segmentation, Parallel parameter estimation/optimization, Distributed memory, Material Science

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/0g13f631
https://escholarship.org/content/qt0g13f631/qt0g13f631.pdf

Spark Adaptive Cache Optimization Strategy Based on the Reuse Degree of RDD

Autori: PAN Shunjie, YU Junyang, WANG Longge, LI Han, ZHAI Rui

Zdroj: Jisuanji gongcheng, Vol 51, Iss 7, Pp 190-198 (2025)

Predmety: parallel computing, spark framework, cache replacement, least recently used (lru) algorithm, big data, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis súboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/jsjgc-51-7-190.pdf; https://doaj.org/toc/1000-3428

Prístupová URL adresa: https://doaj.org/article/c9a0cb55af874926aa1bf7c6602998b6

A framework for scientific computing with GPUs

Autori: Oliveira, Luís Miguel Picciochi de Lourenço, João RUN

Prispievatelia: Oliveira, Luís Miguel Picciochi de Lourenço, João RUN

Predmety: Job scheduling, GPGPU, OpenCL, Run-time support, Distributed computing, Scientific computing

Popis súboru: application/pdf

Dostupnosť: http://hdl.handle.net/10362/7817

Semantic Data Federated Query Optimization Based on Decomposition of Block-Level Subqueries.

Autori: Yao, Yuan Zhang, Yang

Zdroj: Future Internet. Nov2025, Vol. 17 Issue 11, p531. 21p.

Predmety: *Semantic Web, *Distributed computing, *Data structures, *Indexing, *Information technology, *Information retrieval