Výsledky vyhledávání - parallel programming environment CUDA

A Library and Environment for Parallel Processing in a Power-Limited CPU+GPU Cluster Environment

Autoři: Piotr Sienski Sebastian Lesniewski Aleksandra Hein a další

Zdroj: IEEE Access, Vol 13, Pp 180479-180512 (2025)

Témata: CPU + GPU, multi-node GPU system, optimization, multi-threaded, parallel programming, performance and power, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11202505/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/25649750617142e2878dd03a228a7339

Development of a Programming Environment for Parallel Image Processing Using CUDA and GPUs / GPUとCUDAを用いた並列画像処理プログラムの作成支援環境の構築

Autoři: Rui XU Ryota AKIYAMA Shoji KIDO a další

Zdroj: Medical Imaging Technology. 2013, 31(1):42

Error Classification and Static Detection Methods in Tri-Programming Models: MPI, OpenMP, and CUDA

Autoři: Saeed Musaad Altalhi Fathy Elbouraey Eassa Sanaa Abdullah Sharaf a další

Zdroj: Computers, Vol 14, Iss 5, p 164 (2025)

Témata: high-performance computing, parallel programming, MPI, OpenMP, CUDA, exascale systems, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2073-431X/14/5/164; https://doaj.org/toc/2073-431X

Přístupová URL adresa: https://doaj.org/article/d3243408468a43498d15103df93990d6

High-Performance Flow Classification of Big Data Using Hybrid CPU-GPU Clusters of Cloud Environments

Autoři: Fazel-Najafabadi, Azam Abbasi, Mahdi Attar, Hani H. a další

Zdroj: Tsinghua Science and Technology. 29(4):1118-1137

Témata: medical data, Message Passing Interface (MPI), OpenMP, Compute Unified Device Architecture (CUDA), packet classification, tuple space algorithm, Graphics Processing Unit (GPU) cluster

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-66836
https://doi.org/10.26599/TST.2023.9010088

Distributed Calculations with Algorithmic Skeletons for Heterogeneous Computing Environments.

Autoři: Herrmann, Nina Kuchen, Herbert

Zdroj: International Journal of Parallel Programming. Jun2023, Vol. 51 Issue 2/3, p172-185. 14p.

Témata: *PARALLEL programming, SKELETON, HETEROGENEOUS computing

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

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

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

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

Popis souboru: electronic resource

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

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

Hybrid deterministic non-deterministic data-parallel algorithm for real-time unmanned aerial vehicle trajectory planning in CUDA

Autoři: Vincent Roberge Mohammed Tarbouchi

Zdroj: e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 2, Iss , Pp 100085- (2022)

Témata: Flower pollination algorithm, Graphics processing unit, Parallel programming, Trajectory planning, Unmanned aerial vehicle, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772671122000559; https://doaj.org/toc/2772-6711

Přístupová URL adresa: https://doaj.org/article/4aa24568c30c479d8deadcb752635ff8

Development-Supporting Environment of GPGPU Programming for ITK / ITKのためのGPGPUプログラミング支援環境

Autoři: Rui XU Ryota AKIYAMA Shoji KIDO a další

Zdroj: Medical Imaging Technology. 2013, 31(3):153

Hands-On GPU Programming with Python and CUDA : Explore High-performance Parallel Computing with CUDA

Autoři: Dr. Brian Tuomanen

Resource Type: eBook.

Témata: Graphics processing units, Python (Computer program language), CUDA (Computer architecture)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Distributed Systems / General, COMPUTERS / Programming / Parallel

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

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

CUDA Programming : A Developer's Guide to Parallel Computing with GPUs

Autoři: Shane Cook

Resource Type: eBook.

Témata: Parallel programming (Computer science), Parallel processing (Electronic computers), Application software--Development, Graphics processing units, Computer architecture

Categories: COMPUTERS / Programming / General, COMPUTERS / Distributed Systems / General

Learn CUDA Programming : A Beginner's Guide to GPU Programming and Parallel Computing with CUDA 10.x and C/C++

Autoři: Jaegeun Han Bharatkumar Sharma

Resource Type: eBook.

Témata: Computer graphics, CUDA (Computer architecture), Graphics processing units--Programming, Parallel programming (Computer science)

Categories: COMPUTERS / Languages / C++, COMPUTERS / Distributed Systems / General, COMPUTERS / Programming / Parallel

Towards a parallel component in a GPU–CUDA environment: a case study with the L-BFGS Harwell routine.

Autoři: D'Amore, L. Laccetti, G. Romano, D. a další

Zdroj: International Journal of Computer Mathematics. Jan2015, Vol. 92 Issue 1, p59-76. 18p.

Témata: Parallel computers, CUDA (Computer architecture), Graphics processing units, Parallel algorithms, Data acquisition systems, Mathematical models, Oceanography

Massively Parallel Monte Carlo Sampling for Xinanjiang Hydrological Model Parameter Optimization Using CPU-GPU Computer Cluster.

Autoři: Kan, Guangyuan Li, Chenliang Zuo, Depeng a další

Zdroj: Water (20734441); Aug2023, Vol. 15 Issue 15, p2810, 22p

Témata: HYDROLOGIC models, PARALLEL programming, COMPUTER workstation clusters, PROGRAMMING languages, COMPUTER systems, C++, SENSITIVITY analysis

Korporace: INTEL Corp., NVIDIA Corp.

Embedded 3D Reconstruction for Autonomous Driving

Autoři: Hernández Juárez, Daniel

Thesis Advisors: Moure López, Juan Carlos, Vázquez Bermúdez, David

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Stixels, GPU, Visió per computador, Visión por computador, Computer vision, Tecnologies

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/671166

Parallel Programming

Autoři: Thomas Rauber Gudula Rünger

Resource Type: eBook.

Témata: Computer programming, Computer networks, Mathematics—Data processing, Electronic digital computers—Evaluation, Microprocessors, Computer architecture, Telecommunication

Categories: COMPUTERS / Programming / General, COMPUTERS / Computer Architecture, COMPUTERS / Computer Science, COMPUTERS / Networking / General, MATHEMATICS / Applied, TECHNOLOGY & ENGINEERING / Telecommunications

Optimization of the processing of images of pollen grains based on the use of their specific characteristics and geometric features.

Autoři: Jumanov, Isroil Safarov, Rustam

Zdroj: AIP Conference Proceedings; 10/20/2022, Vol. 2637 Issue 2, p1-8, 8p

Témata: POLLEN, PROCESS optimization, FUNGAL spores, IMAGE recognition (Computer vision), PERSONAL computers, PARALLEL programming, ACCURACY of information

Stencil Calculations with Algorithmic Skeletons for Heterogeneous Computing Environments.

Autoři: Herrmann, Nina de Melo Menezes, Breno A. Kuchen, Herbert

Zdroj: International Journal of Parallel Programming. Dec2022, Vol. 50 Issue 5/6, p433-453. 21p.

Témata: *BEST practices, HETEROGENEOUS computing, SKELETON, STENCIL work, GRAPHICS processing units

GPU Parallel Program Development Using CUDA

Autoři: Tolga Soyata

Resource Type: eBook.

Témata: Parallel programming (Computer science), CUDA (Computer architecture), Graphics processing units--Programming

Categories: COMPUTERS / General, COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Programming / Games, COMPUTERS / Languages / General, MATHEMATICS / General