• Suche: High performance Python

Treffer 61 - 80 von 27.043

61

High performance Python for direct numerical simulations of turbulent flows.
Mikael Mortensen ; Hans Petter Langtangen
CoRR. abs/1602.03638

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63

Establishing a High-Performance and Productive Ecosystem for Distributed Execution of Python Functions Using Globus Compute.
Rachana Ananthakrishnan ; Yadu N. Babuji ; Josh Bryan ; et al.
SC Workshops. :597-606

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64

High Performance Python Offloading
Jussi Enkovaara ; Michael Klemm ; Freddie Witherden
High Performance Parallelism Pearls ISBN: 9780128038192

Buch
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66

shmem4py: High-Performance One-Sided Communication for Python Applications.
Marcin Rogowski ; Jeff R. Hammond ; David E. Keyes ; et al.
SC Workshops. :1185-1193

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67

High Performance Conductive Hydrogel for Strain Sensing Applications and Digital Image Mapping
Liu, Ruonan ; Chen, Kun ; Liu, He ; et al.
ACS Applied Materials & Interfaces. 14(45):51341-51350

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70

A neural-network-based Python package for performing large-scale atomic CI using pCI and other high-performance atomic codes.
Pavlo Bilous ; Charles Cheung ; Marianna S. Safronova
Comput. Phys. Commun.. 315:109731-109731

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71

A Framework for Composing High-Performance OpenCL from Python Descriptions
Anderson, Michael Jeffrey

Computer science Electrical engineering
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72

quTARANG: A high-performance computing Python package to study turbulence using the Gross-Pitaevskii equation.
Sachin Singh Rawat ; Shawan Kumar Jha ; Mahendra Kumar Verma ; et al.
Comput. Phys. Commun.. 315:109725-109725

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73

Executorlib - Up-scaling Python workflows for hierarchical heterogenous high-performance computing.
Jan Janssen ; Michael Gilbert Taylor ; Ping Yang ; et al.
J. Open Source Softw.. 10(109):7782-7782

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74

Review of PySR: high-performance symbolic regression in Python and Julia.
Alberto Tonda
Genet. Program. Evolvable Mach.. 26(1):7-7

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75

Developing a High-Performance Process Mining Library with Java and Python Bindings in Rust.
Aaron Küsters ; Wil M. P. van der Aalst
CoRR. abs/2401.14149

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77

PyExaFMM: An Exercise in Designing High-Performance Software With Python and Numba.
Srinath Kailasa ; Tingyu Wang ; Lorena A. Barba ; et al.
Comput. Sci. Eng.. 24(5):77-84

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78

GT4Py: High Performance Stencils for Weather and Climate Applications using Python.
Enrique G. Paredes ; Linus Groner ; Stefano Ubbiali ; et al.
CoRR. abs/2311.08322

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79

PyExaFMM: an exercise in designing high-performance software with Python and Numba.
Srinath Kailasa ; Tingyu Wang ; Lorena A. Barba ; et al.
CoRR. abs/2303.08394

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80

WESTPA 2.0: High-Performance Upgrades for Weighted Ensemble Simulations and Analysis of Longer-Timescale Applications
Russo, John D. ; Zhang, She ; Leung, Jeremy M. G. ; et al.
Journal of Chemical Theory and Computation. 18(2):638-649

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