Numerical programming library for the Python programming language
CuPy
Original author(s)
Seiya Tokui
Developer(s)
Community, Preferred Networks, Inc.
Initial release
September 2, 2015; 8 years ago (2015-09-02).[1]
Stable release
v10.5.0[2]
/ May 26, 2022; 23 months ago (2022-05-26)[2]
Preview release
v11.0.0b3[2]
/ May 26, 2022; 23 months ago (2022-05-26)[2]
Repository
github.com/cupy/cupy
Written in
Python, Cython, CUDA
Operating system
Linux, Windows
Platform
Cross-platform
Type
Numerical analysis
License
MIT
Website
cupy.dev
CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them.[3]
CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU. CuPy supports Nvidia CUDA GPU platform, and AMD ROCm GPU platform starting in v9.0.[4][5]
CuPy has been initially developed as a backend of Chainer deep learning framework, and later established as an independent project in 2017.[6]
CuPy is a part of the NumPy ecosystem array libraries[7] and is widely adopted to utilize GPU with Python,[8] especially in high-performance computing environments such as Summit,[9] Perlmutter,[10] EULER,[11] and ABCI.[12]
CuPy is a NumFOCUS affiliated project.[13]
^"Release v1.3.0 – chainer/chainer". Retrieved 25 June 2022 – via GitHub.
^ abcd"Releases – cupy/cupy". Retrieved 18 June 2022 – via GitHub.
^
Okuta, Ryosuke; Unno, Yuya; Nishino, Daisuke; Hido, Shohei; Loomis, Crissman (2017). CuPy: A NumPy-Compatible Library for NVIDIA GPU Calculations(PDF). Proceedings of Workshop on Machine Learning Systems (LearningSys) in The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS).
^
"CuPy 9.0 Brings AMD GPU Support To This Numpy-Compatible Library - Phoronix". Phoronix. 29 April 2021. Retrieved 21 June 2022.
^"AMD Leads High Performance Computing Towards Exascale and Beyond". 28 June 2021. Retrieved 21 June 2022. Most recently, CuPy, an open-source array library with Python, has expanded its traditional GPU support with the introduction of version 9.0 that now offers support for the ROCm stack for GPU-accelerated computing.
^
"Preferred Networks released Version 2 of Chainer, an Open Source framework for Deep Learning - Preferred Networks, Inc". 2 June 2017. Retrieved 18 June 2022.
^
"NumPy". numpy.org. Retrieved 21 June 2022.
^Gorelick, Micha; Ozsvald, Ian (April 2020). High Performance Python: Practical Performant Programming for Humans (2nd ed.). O'Reilly Media, Inc. p. 190. ISBN 9781492055020.
^Oak Ridge Leadership Computing Facility. "Installing CuPy". OLCF User Documentation. Retrieved 21 June 2022.
^National Energy Research Scientific Computing Center. "Using Python on Perlmutter". NERSC Documentation. Retrieved 21 June 2022.
^ETH Zurich. "CuPy". ScientificComputing. Retrieved 21 June 2022.
^National Institute of Advanced Industrial Science and Technology. "Chainer". ABCI 2.0 User Guide. Retrieved 21 June 2022.
^"Affiliated Projects - NumFOCUS". Retrieved 18 June 2022.
2014. "Numba". Retrieved 8 March 2014. Shohei Hido - CuPy: A NumPy-compatible Library for GPU - PyCon 2018, archived from the original on 2021-12-21, retrieved...
print(C.np_mat()) while CuPy directly replaces NumPy: import cupy a = cupy.random.randn(400) b = cupy.random.randn(400) dest = cupy.zeros_like(a) print(dest...
source deep learning framework written purely in Python on top of NumPy and CuPy Python libraries. The development is led by Japanese venture company...
visualization (via Matplotlib, VTK). Apache Singa, a library for deep learning. CuPy, a library for GPU-accelerated computing Dask, a library for parallel computing...
"Rosol končí tenisovou kariéru. Šokoval Nadala, vyhrál dva turnaje i Davis Cupy". iDNES (in Czech). 4 April 2024. Retrieved 5 April 2024. Long, David (10...
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complexes, depending on conditions: MCl2py2 + 2 py → MCl2py4 Many examples exist for [Au(py)2]+. [Ag(py)3]+ and [Cu(py)2]+ are also precedented. The η6 coordination...
-koʊ-/ KAL-kə-PY-ryte, -koh-) is a copper iron sulfide mineral and the most abundant copper ore mineral. It has the chemical formula CuFeS2 and crystallizes...
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CX-30 2023–present Mazda CX-50 (China) The Skyactiv-G 2.5 (PY-VPS) is a 2,488 cc (151.8 cu in) naturally aspirated engine first used in the 2013 Mazda...
cross-platform C unit testing framework". GitHub. Retrieved 4 September 2015. "danfis/cu - C Unit Testing Framework". GitHub. Archived from the original on 30 Oct...
G40 was its 1.3 litre G40 engine (engine ID code: PY). It displaced 1,272 cubic centimetres (77.6 cu in) from a cylinder bore of 75.0 mm (2.953 in), and...
deep-learning library for Python with an API largely compatible with the popular NumPy library. Allows user to write symbolic mathematical expressions, then automatically...
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