Výsledky vyhledávání - HPC in Python

MultiPsi: A python-driven MCSCF program for photochemistry and spectroscopy simulations on modern HPC environments

Autoři: Delcey, Mickael G, 1988

Zdroj: WIREs Computational Molecular Science. 13(6)

Témata: electronic structure theory, high-performance computing (HPC), MCSCF, response theory

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-349636
https://doi.org/10.1002/wcms.1675

FluidFFT: Common API (C++ and Python) for Fast Fourier Transform HPC Libraries

Autoři: Mohanan, Ashwin Vishnu Bonamy, Cyrille Augier, Pierre

Zdroj: FluidDyn project Journal of Open Research Software. 7(1)

Témata: fluid dynamics, Python, FFT, simulations, Tillämpad matematik och beräkningsmatematik, Applied and Computational Mathematics, SRA - E-vetenskap (SeRC), SRA - E-Science (SeRC)

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-248292
https://doi.org/10.5334/jors.238

Data Engineering for HPC with Python

Autoři: Pulasthi Wickramasinghe Niranda Perera Vibhatha Abeykoon a další

Zdroj: 2020 IEEE/ACM 9th Workshop on Python for High-Performance and Scientific Computing (PyHPC). :13-21

Témata: Performance (cs.PF), Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Computers and Society, Computer Science - Software Engineering, Computer Science - Performance, Computer Science - Distributed, Parallel, and Cluster Computing, Computers and Society (cs.CY), 0202 electrical engineering, electronic engineering, information engineering, Distributed, Parallel, and Cluster Computing (cs.DC), 02 engineering and technology

Přístupová URL adresa: http://arxiv.org/pdf/2010.06312
http://arxiv.org/abs/2010.06312
https://arxiv.org/pdf/2010.06312
https://arxiv.org/abs/2010.06312
https://dblp.uni-trier.de/db/journals/corr/corr2010.html#abs-2010-06312

A Distributed Python HPC Framework: ODIN, PyTrilinos, & Seamless

Přispěvatelé: Grant, Robert [Enthought, Inc., Austin, TX (United States)]

Popis souboru: Medium: ED; Size: 10 p.

Přístupová URL adresa: http://www.osti.gov/scitech/servlets/purl/1226571

Data Engineering for HPC with Python

Autoři: Abeykoon, Vibhatha Perera, Niranda Widanage, Chathura a další

Témata: Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Computers and Society, Computer Science - Performance, Computer Science - Software Engineering, text

URL: http://arxiv.org/abs/2010.06312

Solving large numerical optimization problems in HPC with Python

Autoři: Antonio Gómez-Iglesias

Zdroj: Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing. :1-8

Témata: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

Přístupová URL adresa: https://dl.acm.org/doi/10.1145/2835857.2835864
https://dblp.uni-trier.de/db/conf/sc/pyhpc2015.html#Gomez-Iglesias15

VeloxChem: A Python-driven density-functional theory program for spectroscopy simulations in high-performance computing environments

Autoři: Rinkevicius, Zilvinas Li, Xin Vahtras, Olav a další

Zdroj: WIREs Computational Molecular Science.

Témata: circular dichroism, density functional theory (DFT), ECD, high-performance computing (HPC), MPI, OpenMP, response theory, UV/vis, Application programming interfaces (API), Cluster computing, Computation theory, Computational efficiency, Dichroism, Electronic structure, High level languages, Message passing, Object oriented programming, Open source software, Physical chemistry, Program processors, Quantum chemistry, Circular dichroism spectra, Electronic structure theory, High performance computing, High performance computing (HPC), High-performance computing clusters, Density functional theory

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-268434
https://doi.org/10.1002/wcms.1457

Geodynamic simulations in HPC with Python

Autoři: P. Sterzai Nicola Creati Roberto Vidmar

Zdroj: Proceedings of the Python in Science Conference. :152-157

Témata: 0103 physical sciences, 01 natural sciences, 0105 earth and related environmental sciences

Přístupová URL adresa: http://conference.scipy.org/proceedings/scipy2015/pdfs/nicola_creati.pdf
http://conference.scipy.org/proceedings/scipy2015/pdfs/nicola_creati.pdf
http://conference.scipy.org/proceedings/scipy2015/nicola_creati.html

Boosting HPC data analysis performance with the ParSoDA-Py library.

Autoři: Belcastro, Loris Giampà, Salvatore Marozzo, Fabrizio a další

Zdroj: Journal of Supercomputing; May2024, Vol. 80 Issue 8, p11741-11761, 21p

Témata: DATA analysis, PYTHON programming language, DATA mining, DATA libraries, LIBRARY technical services, HIGH performance computing, BIG data

Array computing and machine learning on HPC-systems: the Python library Heat and an application to earth observation

Autoři: Hoppe, Fabian Koslow, Wadim Rack, Kathrin a další

Témata: High-Performance Computing, Institut für Softwaretechnologie

Popis souboru: application/pdf

Relation: https://elib.dlr.de/209336/1/2024_TerrabyteEvaluation_Hoppe.pdf; Hoppe, Fabian und Koslow, Wadim und Rack, Kathrin und Rüttgers, Alexander (2024) Array computing and machine learning on HPC-systems: the Python library Heat and an application to earth observation. Evaluation der High Performance Data Analytics Kooperation terrabyte von DLR und LRZ, 2024-11-28, LRZ Garching (München).

Dostupnost: https://elib.dlr.de/209336/
https://elib.dlr.de/209336/1/2024_TerrabyteEvaluation_Hoppe.pdf

A Python HPC framework: PyTrilinos ODIN and Seamless.

Přispěvatelé: Ross-Ross, Sean

Zdroj: Conference: Proposed for presentation at the Supercomputing 2012 workshop: Python for High Performance and Scientific Computing (PyHPC 2012) held November 16, 2012 in Salt Lake City, UT.

Popis souboru: Medium: X; Size: 7 p.

Přístupová URL adresa: http://www.osti.gov/scitech/biblio/1063577

itwinai: Enabling Scalable AI Workflows on HPC for Digital Twins in Science.

Autoři: Bunino, Matteo Sæther, Jarl Sondre Lappe, Anna Elisa a další

Zdroj: EPJ Web of Conferences; 10/7/2025, Vol. 337, p1-10, 10p

Edge-elements formulation of 3D CSEM in geophysics : a parallel approach

Autoři: Castillo Reyes, Octavio

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

Thesis Advisors: Cela Espín, José M. (José María), Puente Álvarez, Josep de la

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: 3D electromagnetic modelling, Geophysics, Python, High-performance computing, Edge finite elements, Àrees temàtiques de la UPC::Informàtica

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/461190
https://dx.doi.org/10.5821/dissertation-2117-113681

High performance computing and artificial intelligence algorithms for dimensionality reduction of turbulent flows

Autoři: Eiximeno Franch, Benet

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament de Física

Thesis Advisors: Rodríguez Pérez, Ivette María, Lehmkuhl Barba, Oriol

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: reduced order models, high performance computing, deep learning, singular value decomposition, variational autoencoders, Àrees temàtiques de la UPC::Física, Àrees temàtiques de la UPC::Informàtica, 531/534 - Mecànica. Vibracions. Acústica, 004 - Informàtica

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/695826
https://dx.doi.org/10.5821/dissertation-2117-446576

libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations

Autoři: Hudson, Stephen Larson, Jeffrey Navarro, John-Luke a další

Zdroj: IEEE Transactions on Parallel and Distributed Systems. 33(4)

Témata: Information and Computing Sciences, Library and Information Studies, Generators, Resource management, Libraries, Optimization, Arrays, History, Concurrent computing, Dynamic ensembles, simulation support systems, workflow management, HPC Python, Computer Software, Distributed Computing, Communications Technologies, Distributed computing and systems software

Přístupová URL adresa: https://escholarship.org/uc/item/3dn1k3g9

Noise reduction in radio astronomy images using ML: A comparison of methods for detection and treatment

Autoři: Fresco, Pedro Miguel Medinas

Témata: Smartglow, Machine learning, Radio astronomy, Artificial Intelligence, HPC, CUDA, Tensorflow, Keras, CNN, Python, Phosim, SAOImageDS9, Noise reduction

Popis souboru: application/pdf

Dostupnost: https://repositorio.ipbeja.pt/handle/20.500.12207/6481

pip install ROOT: Experiences making a complex multilanguage package accessible for Python users.

Autoři: Padulano, Vincenzo Eduardo Rembser, Jonas

Zdroj: EPJ Web of Conferences; 10/7/2025, Vol. 337, p1-7, 7p

A Case Study on Virtual HPC Container Clusters and Machine Learning Applications.

Autoři: Krogulski, Piotr Rak, Tomasz

Zdroj: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7433, 32p

Témata: HIGH performance computing, MACHINE learning, CONTAINER design & construction, PARALLEL programming, ADAPTIVE computing systems, ANOMALY detection (Computer security), VIRTUAL machine systems, COMPUTER workstation clusters

A concise python implementation of the lattice Boltzmann method on HPC for geo-fluid flow.

Autoři: Mora, Peter Morra, Gabriele Yuen, David A

Zdroj: Geophysical Journal International; Jan2020, Vol. 220 Issue 1, p682-702, 21p

Témata: PYTHON programming language, POISEUILLE flow, THEORY of wave motion, FLUID dynamics, ACOUSTIC wave propagation, SOUND waves

wfl Python toolkit for creating machine learning interatomic potentials and related atomistic simulation workflows.

Autoři: Gelžinytė, Elena Wengert, Simon Stenczel, Tamás K. a další

Zdroj: Journal of Chemical Physics; 9/28/2023, Vol. 159 Issue 12, p1-12, 12p

Témata: MACHINE learning, PYTHON programming language, WORKFLOW, WORKFLOW management, AB-initio calculations