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Numba
Description:
Numba is a just-in-time compiler for Python that accelerates numerical and scientific computing code.
Primary topic:
Parallel Computing and Optimization Techniques (28%)
Related topics:
Parallel Computing and Optimization Techniques (28%),
Computational Physics and Python Applications (22%)
Wikidata ID:
wiki/Q17132992
OpenAlex ID:
keywords/numba
Numba
2015
·
Siu Kwan Lam
, Antoine Pitrou
, et al.
·
1,518
PyMC: a modern, and comprehensive probabilistic programming framework in Python
2023
·
Oriol Abril-Pla
, Virgile Andreani
, et al.
·
PeerJ Computer Science
·
874
PDF
Guide to NumPy
2015
·
Travis E. Oliphant
·
CreateSpace Independent Publishing Platform eBooks
·
238
AlphaPept: a modern and open framework for MS-based proteomics
2024
·
Maximilian T. Strauss
, Isabell Bludau
, et al.
·
Nature Communications
·
73
ranx: A Blazing-Fast Python Library for Ranking Evaluation and Comparison
2022
·
Elias Bassani
·
Lecture notes in computer science
·
40
PDF
Lessons learned from comparing C-CUDA and Python-Numba for GPU-Computing
2020
·
Lena Oden
·
Proceedings - Euromicro Workshop on Parallel and Distributed Processing/Proceedings
·
35
The performances of iterative type-2 fuzzy C-mean on GPU for image segmentation
2021
·
Noureddine Ait Ali
, Ahmed El abbassi
, et al.
·
The Journal of Supercomputing
·
34
ZMCintegral: A package for multi-dimensional Monte Carlo integration on multi-GPUs
2019
·
Hong-Zhong Wu
, Jun-Jie Zhang
, et al.
·
Computer Physics Communications
·
29
PDF
General Method for Speeding Up Kinetic Monte Carlo Simulations
2020
·
Artur S. C. Rego
, Amanda L. T. Brandão
·
Industrial & Engineering Chemistry Research
·
27
Efficient extraction of pore networks from massive tomograms via geometric domain decomposition
2020
·
Zohaib Atiq Khan
, Ali Elkamel
, et al.
·
Advances in Water Resources
·
26
Tricolour: an optimized SumThreshold flagger for MeerKAT
2022
·
Hugo, Benjamin V.
, Perkins, Simon
, et al.
·
arXiv (Cornell University)
·
25
PDF
apricot: Submodular selection for data summarization in Python
2019
·
Schreiber, Jacob
, Bilmes, Jeffrey
, et al.
·
arXiv (Cornell University)
·
22
PDF
A completely client-side approach to e-assessment and e-learning of mathematics and statistics
2012
·
Bill Foster
, Christian Perfect
, et al.
·
21
PyOMP: Multithreaded Parallel Programming in Python
2021
·
Timothy G. Mattson
, Todd A. Anderson
, et al.
·
Computing in Science & Engineering
·
20
Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions
2021
·
Mohak Chadha
, Anshul Jindal
, et al.
·
IEEE ... International Conference on Cloud Computing
·
20
PDF
Composable Multi-Threading for Python Libraries
2016
·
Anton Malakhov
·
Proceedings of the Python in Science Conferences
·
19
PDF
ranx.fuse: A Python Library for Metasearch
2022
·
Elias Bassani
, Luca Romelli
·
Proceedings of the ... ACM International Conference on Information & Knowledge Management
·
17
PDF
Awkward Arrays in Python, C++, and Numba
2020
·
Jim Pivarski
, Peter Elmer
, et al.
·
Springer Link (Chiba Institute of Technology)
·
17
PDF
Experiences in Developing a Distributed Agent-based Modeling Toolkit with Python
2020
·
Nicholson T. Collier
, Jonathan Ozik
, et al.
·
16
Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python
2022
·
Héber H. Arcolezi
, Jean-François Couchot
, et al.
·
Lecture notes in computer science
·
15
PDF
Sarkas: A fast pure-python molecular dynamics suite for plasma physics
2021
·
Luciano G. Silvestri
, Lucas J. Stanek
, et al.
·
Computer Physics Communications
·
15
Awkward Arrays in Python, C++, and Numba
2020
·
Jim Pivarski
, Peter Elmer
, et al.
·
EPJ Web of Conferences
·
14
PDF
Africanus II. QuartiCal: Calibrating radio interferometer data at scale using Numba and Dask
2025
·
J.S. Kenyon
, S.J. Perkins
, et al.
·
Astronomy and Computing
·
12
Dask & Numba: Simple libraries for optimizing scientific python code
2016
·
James Crist
·
IEEE International Conference on Big Data (BigData)
·
12
A Python-based flow solver for numerical simulations using an immersed boundary method on single GPUs
2024
·
M. Guerrero-Hurtado
, J.M. Catalán
, et al.
·
Computers & Fluids
·
10
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Works count:
394
Citation count:
3,642
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