Výsledky vyhľadávania - parallel programming (technologiach OR technologie)

A taxonomy of task-based parallel programming technologies for high-performance computing

Autori: Thoman, Peter Dichev, Kiril Heller, Thomas a ďalší

Zdroj: Journal of Supercomputing. 74(4):1422-1434

Predmety: High-performance computing, Task-based parallelism, Taxonomy, API, Runtime system, Scheduler, Monitoring framework, Fault tolerance

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226199

Systems and methods for creating and using a data structure for parallel programming

A time-predictable parallel programing model for real-time systems

Autori: Serrano, Maria A.

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

Thesis Advisors: Quiñones Moreno, Eduardo

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Àrees temàtiques de la UPC::Informàtica

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/666476
https://dx.doi.org/10.5821/dissertation-2117-131427

Pattern-based Programming Abstractions for Heterogeneous Parallel Computing

Autori: Ernstsson, August

Témy: High‐level parallel programming, Algorithmic skeletons, Heterogeneous systems, High‐performance computing, Computer Sciences, Datavetenskap (datalogi), Doctoral thesis, monograph, info:eu-repo/semantics/doctoralThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-181853
Linköping Studies in Science and Technology. Dissertations, 0345-7524 ; 2205
info:eu-repo/grantAgreement/EC/FP7/611183

Development of software for neuromarketing based on artificial intelligence and data science using high-performance computing and parallel programming technologies

Autori: Oleh Pastukh Vasyl Yatsyshyn

Zdroj: Scientific journal of the Ternopil national technical university. 1:143-149

Predmety: 0301 basic medicine, 03 medical and health sciences, 0211 other engineering and technologies, 02 engineering and technology

Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation

Autori: Godoy, William F. Valero-Lara, Pedro Teranishi, Keita a ďalší

Témy: Computer Science - Artificial Intelligence, Computer Science - Emerging Technologies, Computer Science - Programming Languages, text

URL: http://arxiv.org/abs/2306.15121

Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation

Autori: William Godoy Pedro Valero-Lara Keita Teranishi a ďalší

Zdroj: Proceedings of the 52nd International Conference on Parallel Processing Workshops. :136-144

Predmety: FOS: Computer and information sciences, Computer Science - Programming Languages, Artificial Intelligence (cs.AI), Emerging Technologies (cs.ET), Computer Science - Artificial Intelligence, Computer Science - Emerging Technologies, Programming Languages (cs.PL)

Prístupová URL adresa: http://arxiv.org/abs/2306.15121

A Study of Performance Programming of CPU, GPU accelerated Computers and SIMD Architecture

Autori: Yi, Xinyao

Témy: Computer Science - Distributed, Parallel, and Cluster Computing, text

URL: http://arxiv.org/abs/2409.10661

LLM4VV: Evaluating Cutting-Edge LLMs for Generation and Evaluation of Directive-Based Parallel Programming Model Compiler Tests

Autori: Sollenberger, Zachariah Patel, Rahul Zada, Saieda Ali a ďalší

Predmety: Software Engineering (cs.SE), FOS: Computer and information sciences, Emerging Technologies (cs.ET), Software Engineering, Emerging Technologies

Prístupová URL adresa: http://arxiv.org/abs/2507.21447

Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures

Autori: Suchard, Marc A. Wang, Quanli Chan, Cliburn a ďalší

Zdroj: Journal of Computational and Graphical Statistics, 2010 Jun 01. 19(2), 419-438.

Prístupová URL adresa: https://www.jstor.org/stable/25703576

A systematic review of the literature on methods and technologies for teaching parallel and distributed computing in universities

Autori: Yuriy Sitsylitsyn

Zdroj: Ukrainian Journal of Educational Studies and Information Technology, Vol 11, Iss 2 (2023)

Predmety: distributed computing, parallel programming, LC8-6691, teaching parallel and distributed computing, Electronic computers. Computer science, 4. Education, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, Special aspects of education

Prístupová URL adresa: https://doaj.org/article/d604833b856a4154956cf725f3ee696b

Application of Reinforcement Learning and Parallel Programming Technologies for Program Code Generation and Validation

Autori: Vadim E. Marchenko Petr V. Nikitin Rimma I. Gorokhova

Zdroj: Современные информационные технологии и IT-образование, Vol 19, Iss 1, Pp 163-171 (2023)

Predmety: reinforcement learning, program code, neural networks, learning environment, learning platforms, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: http://sitito.cs.msu.ru/index.php/SITITO/article/view/950; https://doaj.org/toc/2411-1473

Prístupová URL adresa: https://doaj.org/article/ca2db354e40746fd88b6847a5cdc92ad

OpenMP and TBB for data parallelism on multi-core architectures.

Autori: Rakhimov, Mekhriddin Javliev, Shakhzod Karimberdiyev, Jakhongir a ďalší

Zdroj: AIP Conference Proceedings. 2025, Vol. 3377 Issue 1, p1-10. 10p.

Predmety: *PARALLEL programming, *PARALLEL processing, *ARTIFICIAL intelligence, *COMPUTER multitasking, *COMPUTER performance, *MULTICORE processors, *DATA distribution

一种面向地球系统模式的高效并行计算框架.

Alternate Title: An efficient parallel computing framework for earth system models.

Autori: 王 冬 刘 壮 黄小猛

Zdroj: Computer Engineering & Science / Jisuanji Gongcheng yu Kexue. Oct2025, Vol. 47 Issue 10, p1711-1725. 15p.

Predmety: *PARALLEL programming, *SCALABILITY, *STATISTICAL models, *GRAPHICS processing units, *MATHEMATICAL optimization, *ATMOSPHERIC models

CPU-GPU co-execution through the exploitation of hybrid technologies via SYCL.

Autori: Raúl, Nozal Bosque, Jose Luis

Zdroj: Journal of Supercomputing. Feb2025, Vol. 81 Issue 3, p1-17. 17p.

Predmety: *PARALLEL programming, *HETEROGENEOUS computing, *SYSTEMS design, *ENERGY consumption, *ENERGY dissipation

Towards A Parallel Programming Language Based on Commodity Object-oriented Technologies

Autori: Matsuoka, S.

Zdroj: Proceedings International Symposium on Software Engineering for Parallel and Distributed Systems ; page 18-18

Dostupnosť: https://doi.org/10.1109/pdse.1998.668148
http://xplorestaging.ieee.org/ielx4/5460/14725/00668148.pdf?arnumber=668148

Parallel programming technologies on computer complexes

Autori: S. A. Pryadko A. Yu. Troshin V. D. Kozlov a ďalší

Zdroj: Radio industry (Russia). 30:28-33

Prístupová URL adresa: https://www.radioprom.org/jour/article/download/730/418
http://ui.adsabs.harvard.edu/abs/2020RadIn..30...28P/abstract
https://www.radioprom.org/jour/article/view/730
https://www.radioprom.org/jour/article/download/730/418

Cache-aware Parallel Programming for Manycore Processors

Autori: Tousimojarad, Ashkan Vanderbauwhede, Wim

Témy: Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Performance, text

URL: http://arxiv.org/abs/1403.8006

Modeling of parallel program synchronization primitives

Autori: Oleg S. Kryukov Anna G. Voloshko Alexey N. Ivutin

Zdroj: Modeling and Analysis of Information Systems. 32:150-171

Implement of a high-performance computing system for parallel processing of scientific applications and the teaching of multicore and parallel programming

Autori: Tecnológico Nacional de México Velarde Martinez, Apolinar

Témy: Innovation, Teaching Technologies, Documentation, Single Instruction Multiple Data, Multiple Instruction Multiple Data, Grid Systems, Cluster, Cloud Computing, MPI, Threads, High Speed Computer Network, info:eu-repo/semantics/bookPart, info:eu-repo/semantics/conferenceObject

URL: http://hdl.handle.net/10251/122800