Zobrazeno 1 - 10
of 3 907
pro vyhledávání: '"Numba"'
Publikováno v:
SoftwareX 28, 101897 (2024)
The numba-mpi package offers access to the Message Passing Interface (MPI) routines from Python code that uses the Numba just-in-time (JIT) compiler. As a result, high-performance and multi-threaded Python code may utilize MPI communication facilitie
Externí odkaz:
http://arxiv.org/abs/2407.13712
Autor:
Kenyon, Jonathan S., Perkins, Simon J., Bester, Hertzog L., Smirnov, Oleg M., Russeeawon, Cyndie, Hugo, Benjamin V.
Calibration of radio interferometer data ought to be a solved problem; it has been an integral part of data reduction for some time. However, as larger, more sensitive radio interferometers are conceived and built, the calibration problem grows in bo
Externí odkaz:
http://arxiv.org/abs/2412.10072
Finding a software engineering approach that allows for portability, rapid development, open collaboration, and performance for high performance computing on GPUs and CPUs is a challenge. We implement a portability scheme using the Numba compiler for
Externí odkaz:
http://arxiv.org/abs/2409.04668
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
SoftwareX, Vol 28, Iss , Pp 101897- (2024)
The numba-mpi package offers access to the Message Passing Interface (MPI) routines from Python code that uses the Numba just-in-time (JIT) compiler. As a result, high-performance and multi-threaded Python code may utilize MPI communication facilitie
Externí odkaz:
https://doaj.org/article/83f9fa3644e34ef68bb7591305d16ee3
Publikováno v:
Computing in Science & Engineering, vol. 24, no. 05, pp. 77-84, 2022
Numba is a game-changing compiler for high-performance computing with Python. It produces machine code that runs outside of the single-threaded Python interpreter and that fully utilizes the resources of modern CPUs. This means support for parallel m
Externí odkaz:
http://arxiv.org/abs/2303.08394
Autor:
Godoy, William F., Valero-Lara, Pedro, Dettling, T. Elise, Trefftz, Christian, Jorquera, Ian, Sheehy, Thomas, Miller, Ross G., Gonzalez-Tallada, Marc, Vetter, Jeffrey S., Churavy, Valentin
We explore the performance and portability of the high-level programming models: the LLVM-based Julia and Python/Numba, and Kokkos on high-performance computing (HPC) nodes: AMD Epyc CPUs and MI250X graphical processing units (GPUs) on Frontier's tes
Externí odkaz:
http://arxiv.org/abs/2303.06195
Publikováno v:
In Internet of Things April 2024 25
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Computation, Vol 12, Iss 3, p 61 (2024)
This paper examines the performance of two popular GPU programming platforms, Numba and CuPy, for Monte Carlo radiation transport calculations. We conducted tests involving random number generation and one-dimensional Monte Carlo radiation transport
Externí odkaz:
https://doaj.org/article/a9efcb0d4dc14f008fd7ca0eb803d8e7