Search Results - GPU programming in Python

Performance Characterization of Python Runtimes for Multi-device Task Parallel Programming.

Authors: Ruys, William Lee, Hochan You, Bozhi et al.

Source: International Journal of Parallel Programming. Apr2025, Vol. 53 Issue 2, p1-24. 24p.

In-Line Digital Holographic Reconstruction by Using GPU Programming with Python

Authors: Dai NAKAI Yohsuke TANAKA

Source: Advanced Experimental Mechanics. 2022, 7:169

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

Authors: Dr. Brian Tuomanen

Resource Type: eBook.

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

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

Hands-on GPU programming with Python and CUDA : explore high-performance parallel computing with CUDA / Brian Tuomanen.

Authors: Tuomanen, Brian. Autor Packt Publishing. Wydawca pbl

Contributors: Tuomanen, Brian. Autor Packt Publishing. Wydawca pbl

Source: Indeks.

Subject Terms: CUDA (informatyka), Python (język programowania), Procesory kart graficznych

Access URL: http://katalog.nukat.edu.pl/lib/item?id=chamo:4602660&theme=nukat

Practical GPU programming : high-performance computing with CUDA, CuPy, and Python on modern GPUs / Maris Fenlor.

Authors: Fenlor, Maris. Autor GitforGits. Wydawca pbl

Contributors: Fenlor, Maris. Autor GitforGits. Wydawca pbl

Source: Indeks.

Subject Terms: Programowanie równoległe (informatyka) -- podręczniki, Python (język programowania), CUDA (informatyka), CUDA (informatyka), Python (język programowania), Procesory kart graficznych, Procesor graficzny (GPU), Programowanie (informatyka)

Access URL: http://katalog.nukat.edu.pl/lib/item?id=chamo:5879597&theme=nukat

Hands-On GPU Programming with Python and CUDA

Authors: Tuomanen, Dr. Brian, Tuomanen, Dr. Brian

Index Terms: book

URL: https://international.scholarvox.com/book/88865405

Performance and productivity of parallel python programming: a study with a CFD test case

Authors: Basermann, Achim Röhrig-Zöllner, Melven Illmer, Joachim

Source: Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing. :1-10

Subject Terms: productivity, Parallel programming, 05 social sciences, GPU, 02 engineering and technology, multi-core CPU, 3. Good health, Verteilte Systeme und Komponentensoftware, performance modelling, freewake, 0202 electrical engineering, electronic engineering, information engineering, performance analysis, 0503 education, performance, helicopter simulation kernel, Python

File Description: application/pdf

Access URL: https://elib.dlr.de/100612/1/par_python_prog_basermann_final.pdf
https://dblp.uni-trier.de/db/conf/sc/pyhpc2015.html#BasermannRI15
https://elib.dlr.de/100612/2/par_python_prog_PyHPC_2015.pdf
https://dl.acm.org/doi/10.1145/2835857.2835859
https://elib.dlr.de/100612/
https://www.dlr.de/sc/Portaldata/15/Resources/dokumente/pyhpc2015/slides/PyHPC2015-slides-2-Basermann.pdf
https://elib.dlr.de/100612/
https://elib.dlr.de/100612/
https://doi.org/10.1145/2835857.2835859

Efficient Multi-GPU Programming in Python: Reducing Synchronization and Access Overheads

Authors: Oden, Lena Nölp, Klaus

Source: 2025 IEEE International Conference on Cluster Computing (CLUSTER) ; page 1-10

Availability: https://doi.org/10.1109/cluster59342.2025.11186485
http://xplorestaging.ieee.org/ielx8/11186399/11186452/11186485.pdf?arnumber=11186485

Developing Graphics Frameworks with Python and OpenGL

Authors: Lee Stemkoski Michael Pascale

Resource Type: eBook.

Subjects: Python (Computer program language), Computer graphics--Computer programs, Computer graphics--Mathematics

Categories: COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Programming / Games, COMPUTERS / Computer Science, COMPUTERS / Programming / General, COMPUTERS / Languages / Python, COMPUTERS / Programming / Open Source

Data for our Paper 'Efficient Multi-GPU Programming in Python: Reducing Synchronization and Access Overheads'

Authors: Oden, Lena

Relation: https://zenodo.org/records/16600717; oai:zenodo.org:16600717; https://doi.org/10.5281/zenodo.16600717

Availability: https://doi.org/10.5281/zenodo.16600717
https://zenodo.org/records/16600717

Hands-On GPU Computing with Python : Explore the Capabilities of GPUs for Solving High Performance Computational Problems

Authors: Avimanyu Bandyopadhyay

Resource Type: eBook.

Subjects: Python (Computer program language), Graphics processing units--Programming

Categories: COMPUTERS / Design, Graphics & Media / Graphics Tools, COMPUTERS / Programming / Parallel, COMPUTERS / Software Development & Engineering / Systems Analysis & Design

Productivity, Portability, Performance, and Reproducibility: Data-Centric Python

Authors: Alexandros Nikolaos Ziogas Timo Schneider Tal Ben-Nun et al.

Source: IEEE Transactions on Parallel and Distributed Systems, 36 (5)

Subject Terms: distributed computing, Computer languages, high-performance computing, dataflow computing, parallel programming, Python

Access URL: http://hdl.handle.net/20.500.11850/731975

Parallel and GPU Programming in Python

Authors: Marco Verdicchio orcid:0000-0001-5286- Carlos Teijeiro Barjas et al.

Subject Terms: HPC, GPU Programming, Python, Training Material

Relation: https://zenodo.org/communities/prace/; https://zenodo.org/records/7477512; oai:zenodo.org:7477512; https://doi.org/10.5281/zenodo.7477512

Availability: https://doi.org/10.5281/zenodo.7477512
https://zenodo.org/records/7477512

Fast, Cheap, and Turbulent—Global Ocean Modeling With GPU Acceleration in Python.

Authors: Häfner, Dion Nuterman, Roman Jochum, Markus

Source: Journal of Advances in Modeling Earth Systems. Dec2021, Vol. 13 Issue 12, p1-12. 12p.

Subject Terms: *GLOBAL modeling systems, *CENTRAL processing units, *PYTHON programming language, *OCEAN, *GRAPHICS processing units, *ENERGY consumption

Hands-On GPU Computing with Python

Authors: Bandyopadhyay, Avimanyu, Bandyopadhyay, Avimanyu

Index Terms: book

URL: https://international.scholarvox.com/book/88871037

Implementation of Hybrid Programming Approach Using Python for Cross Platforms Mobile and Web Application in Cloud Environment.

Authors: Panchal, Mihir Rajesh Doshi, Prinkal Hetalkumar Kadukar, Neeta Gajanan

Source: International Research Journal of Innovations in Engineering & Technology; Aug2023, Vol. 7 Issue 8, p58-64, 7p

Subject Terms: PYTHON programming language, WEB-based user interfaces, MOBILE apps, DATA security, DATA encryption

Parallel and High Performance Programming with Python

Authors: Fabio Nelli

Resource Type: eBook.

Subjects: Language and languages, Parallelism (Linguistics), Python (Computer program language), Electronic data processing--Distributed processing, Cloud computing, Computer programming, Computers

Categories: COMPUTERS / Programming / Parallel

Empirical Analysis of Python’s Energy Impact: Evidence from Real Measurements.

Authors: Jimenez, Elisa Gordillo, Alberto Calero, Coral et al.

Source: Computer Science & Information Systems; Jun2025, Vol. 22 Issue 3, p693-726, 34p

pyC[formula omitted]Ray: A flexible and GPU-accelerated radiative transfer framework for simulating the cosmic epoch of reionization.

Authors: Hirling, P. Bianco, M. Giri, S.K. et al.

Source: Astronomy & Computing. Jul2024, Vol. 48, pN.PAG-N.PAG. 1p.

Subject Terms: Radiative transfer, Interstellar medium, Genetic drift, Photons, Python programming language

X-ray simulations with gVXR in education, digital twining, experiment planning, and data analysis
Simulations RX avec gVXR pour l'éducation, le jumeau numérique, la planification expérimentale et l'analyse de données

Authors: Vidal, Franck P. Afshari, Shaghayegh Ahmed, Sharif et al.

Contributors: Vidal, Franck P. Afshari, Shaghayegh Ahmed, Sharif et al.

Source: Nuclear Instruments and Methods in Physics Research. Section B, Beam Interactions with Materials and Atoms, 568, 165804 (2025-11)

Subject Terms: Computed tomography, Digital twinning, GPU programming, Machine learning, Registration, Simulation, X-ray imaging, Graphic processor unit programming, Graphic processor units, Machine-learning, Real- time, X-ray computed tomography, Nuclear and High Energy Physics, Instrumentation, Engineering, computing & technology, Materials science & engineering, Ingénierie, informatique & technologie, Science des matériaux & ingénierie

Relation: https://www.sciencedirect.com/science/article/pii/S0168583X25001946?via%3Dihub; urn:issn:0168-583X; urn:issn:1872-9584

Access URL: https://orbi.uliege.be/handle/2268/336219