Výsledky vyhledávání - "parallel computing systems"

The application of energy-saving technologies in parallel computing systems

Autoři: Mukhammadali Sultonov Bakhtiyor Akmuradov

Zdroj: Международный научный журнал «Инженер». 3:36-43

Discrete models of geometric objects in parallel computing systems

Autoři: Anastasiia Kaliuzhniak Oleksii Kudin

Zdroj: Collection "Information Technology and Security". 13:69-79

Software Tool for the Synthesis of Petri Net Models of Parallel Computing Systems

Autoři: Nickolay D. Muraviev Vladimir P. Kulagin Dmitry O. Zhukov

Zdroj: 2025 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF). :1-5

An efficient method to determine conjugate heat transfer in moving bodies on parallel computing systems

Autoři: Thede Kiwitt Matthias Meinke Wolfgang Schröder

Zdroj: Physics of Fluids. 37

Using meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review

Autoři: Memeti, Suejb Pllana, Sabri Binotto, Alécio a další

Zdroj: Computing. 101(8):893-936

Témata: Parallel computing, Machine learning, Meta-heuristics, Software optimization, Computer Science, Datavetenskap

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-73712
https://doi.org/10.1007/s00607-018-0614-9

Discrete models of geometric objects in parallel computing systems

Zdroj: Collection "Information Technology and Security"; Vol. 13 No. 1 (2025); 69-79
Сборник "Information Technology and Security"; Том 13 № 1 (2025); 69-79
Collection "Information Technology and Security"; Том 13 № 1 (2025); 69-79

Témata: паралельні розрахунки, R -functions, R-функції, boundary element, functional representation, функціональний підхід, MPI, OpenMP, method 'Marching cubes', parallel calculations, граничний елемент, метод 'Маршируючі куби'

Popis souboru: application/pdf

Přístupová URL adresa: https://its.iszzi.kpi.ua/article/view/328901

Investigation of the Effectiveness of Programs Optimization Methods for Parallel Computing Systems with GPU

Autoři: A. Yu. Bezruchenko V. A. Egunov

Zdroj: Вестник Дагестанского государственного технического университета: Технические науки, Vol 50, Iss 4, Pp 59-74 (2024)

Témata: 0301 basic medicine, Technology, program efficiency, 02 engineering and technology, unified memory, efficiency evaluation, 03 medical and health sciences, gpgpu, 0202 electrical engineering, electronic engineering, information engineering, cuda, nvidia, svd, performance, multithreading

Přístupová URL adresa: https://doaj.org/article/28455bacb5f0497484e2b1eb959e6761

Using Java to create and analyze models of parallel computing systems

Autoři: Harish Padmanaban Nurkasym Arkabaev Maher Ali Rusho a další

Zdroj: Parallel Computing. 125:103146

Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing Systems

Autoři: Peng Peng Shengyi Ji Zhen Tian a další

Zdroj: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. :1885-1896

A framework for certification of large-scale component-based parallel computing systems in a cloud computing platform for HPC services

Autoři: Dantas, A. O. Carvalho, F. H. Barbosa, L. S. a další

Přispěvatelé: Dantas, A. O. Carvalho, F. H. Barbosa, L. S. a další

Témata: Formal Verification, High-preformance computing, Verification as a Service (VaaS), Cloud Computing, Software Components, Software Formal Verification, High Performance Computing

Popis souboru: application/pdf

Relation: 9789897582431

Dostupnost: https://hdl.handle.net/1822/69408

MiniCAR: Minimal Congestion-Aware Routing Method in Fine-Grained Circuit-Switched Networks for Parallel Computing Systems

Autoři: Yao Hu

Zdroj: 2021 IEEE Symposium on Computers and Communications (ISCC). :1-8

Decomposition of Process Control Algorithms for Parallel Computing Systems Using Automata Models

Autoři: Alexey I. Martyshkin Dmitry A. Trokoz Dmitry V. Pashchenko

Zdroj: 2020 International Russian Automation Conference (RusAutoCon). :839-845

Témata: 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, 16. Peace & justice, 01 natural sciences

Přístupová URL adresa: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9208165
http://xplorestaging.ieee.org/ielx7/9204959/9208028/09208165.pdf?arnumber=9208165

Wavelength-routing interconnect 'Optical Hub' for parallel computing systems

Autoři: Shigeru Nakamura Tatsuya Usuki Kenji Mizutani a další

Zdroj: Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region. :81-91

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Přístupová URL adresa: https://dl.acm.org/doi/pdf/10.1145/3368474.3368495
https://dl.acm.org/doi/10.1145/3368474.3368495
https://dblp.uni-trier.de/db/conf/hpcasia/hpcasia2020.html#UrinoMUN20
https://dl.acm.org/doi/pdf/10.1145/3368474.3368495

Execution for complex program set at the parallel computing systems

Autoři: Bocharov P.P. Prejdunov Yu.V.

Zdroj: Avtomatika i Telemekhanika

Témata: Automation, Programmed control systems, Computers, Control, Parallel processing systems, Parallel computing systems, Computer architecture, Computer systems programming, Computer systems

Přístupová URL adresa: https://openrepository.ru/article?id=243137

Model and Method for Optimizing Computational Processes in Parallel Computing Systems

Autoři: Anisimov V.G. Zegzhda P.D. Anisimov E.G. a další

Zdroj: Automatic Control and Computer Sciences. 53:1038-1044

Témata: model, parallel computing-system, method, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, computational process organization, optimization, computer

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/accs/accs53.html#AnisimovZASK19
https://link.springer.com/article/10.3103/S0146411619080054

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

Optimization of Heterogeneous Parallel Computing Systems using Machine Learning

Autoři: Adurti, Devi Abhiseshu Battu, Mohit

Témata: Application, Heterogeneous systems, Parallel computing, Machine learning, Optimization, Computer Sciences, Datavetenskap (datalogi), Student thesis, info:eu-repo/semantics/bachelorThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21834

A New Cost Effective and Reliable Interconnection Topology for Parallel Computing Systems

Autoři: Pradyumna Kumar Tripathy Ranjan Kumar Dash Chitta Ranjan Tripathy

Zdroj: International Journal of Engineering and Advanced Technology. 8:1186-1195

A Container-Based Framework to Facilitate Reproducibility in Employing Stochastic Process Algebra for Modeling Parallel Computing Systems

Autoři: William S. Sanders Srishti Srivastava Ioana Banicescu

Zdroj: 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). :373-381

Témata: 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Přístupová URL adresa: https://ieeexplore.ieee.org/document/8778220/
https://dblp.uni-trier.de/db/conf/ipps/ipdps2019w.html#SandersSB19

A Machine Learning Approach for Productive Data Locality Exploitation in Parallel Computing Systems

Autoři: Engin Kayraklioglu Erwan Favry Tarek El-Ghazawi

Zdroj: 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID). :361-370

Témata: 0103 physical sciences, 01 natural sciences, 7. Clean energy

Přístupová URL adresa: https://ieeexplore.ieee.org/abstract/document/8752854
https://dblp.uni-trier.de/db/conf/ccgrid/ccgrid2019.html#KayrakliogluFE19
https://doi.org/10.1109/CCGRID.2019.00050