CuPy (English Wikipedia)

Tokui, Seiya; Okuta, Ryosuke; Akiba, Takuya; Niitani, Yusuke; Ogawa, Toru; Saito, Shunta; Suzuki, Shuji; Uenishi, Kota; Vogel, Brian; Vincent, Hiroyuki Yamazaki (2019). Chainer: A Deep Learning Framework for Accelerating the Research Cycle. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. doi:10.1145/3292500.3330756.

adsabs.harvard.edu (Global: 14^th place; English: 9^th place)

ui.adsabs.harvard.edu

Charles R Harris; K. Jarrod Millman; Stéfan J. van der Walt; et al. (16 September 2020). "Array programming with NumPy" (PDF). Nature. 585 (7825): 357–362. arXiv:2006.10256. Bibcode:2020Natur.585..357H. doi:10.1038/S41586-020-2649-2. ISSN 1476-4687. PMC 7759461. PMID 32939066. Wikidata Q99413970.

amd.com (Global: 2,753^rd place; English: 2,229^th place)

ir.amd.com

"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.

arxiv.org (Global: 49^th place; English: 31^st place)

Charles R Harris; K. Jarrod Millman; Stéfan J. van der Walt; et al. (16 September 2020). "Array programming with NumPy" (PDF). Nature. 585 (7825): 357–362. arXiv:2006.10256. Bibcode:2020Natur.585..357H. doi:10.1038/S41586-020-2649-2. ISSN 1476-4687. PMC 7759461. PMID 32939066. Wikidata Q99413970.

cupy.dev (Global: low place; English: low place)

docs.cupy.dev

"Overview". CuPy documentation. Retrieved 18 June 2022.
"Comparison Table". CuPy documentation. Retrieved 18 June 2022.

data-apis.org (Global: low place; English: low place)

"2021 report - Python Data APIs Consortium" (PDF). Retrieved 21 June 2022.
"Purpose and scope". Python array API standard 2021.12 documentation. Retrieved 21 June 2022.

dmlc.github.io (Global: low place; English: low place)

"Welcome to DLPack's documentation!". DLPack 0.6.0 documentation. Retrieved 21 June 2022.

doi.org (Global: 2^nd place; English: 2^nd place)

Charles R Harris; K. Jarrod Millman; Stéfan J. van der Walt; et al. (16 September 2020). "Array programming with NumPy" (PDF). Nature. 585 (7825): 357–362. arXiv:2006.10256. Bibcode:2020Natur.585..357H. doi:10.1038/S41586-020-2649-2. ISSN 1476-4687. PMC 7759461. PMID 32939066. Wikidata Q99413970.
Tokui, Seiya; Okuta, Ryosuke; Akiba, Takuya; Niitani, Yusuke; Ogawa, Toru; Saito, Shunta; Suzuki, Shuji; Uenishi, Kota; Vogel, Brian; Vincent, Hiroyuki Yamazaki (2019). Chainer: A Deep Learning Framework for Accelerating the Research Cycle. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. doi:10.1145/3292500.3330756.

ethz.ch (Global: 2,203^rd place; English: 1,928^th place)

scicomp.ethz.ch

ETH Zurich. "CuPy". ScientificComputing. Retrieved 21 June 2022.

github.com (Global: 380^th place; English: 337^th place)

"Release v1.3.0 – chainer/chainer". Retrieved 25 June 2022 – via GitHub.
"Releases – cupy/cupy". Retrieved 13 November 2025 – via GitHub.
"UCBerkeleySETI/turbo_seti: turboSETI -- python based SETI search algorithm". GitHub. Retrieved 21 June 2022.
"arogozhnikov/einops: Deep learning operations reinvented (for pytorch, tensorflow, jax and others)". GitHub. Retrieved 21 June 2022.

learningsys.org (Global: low place; English: low place)

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).

medium.com (Global: 651^st place; English: 479^th place)

"Efficient Data Sharing between CuPy and RAPIDS". Retrieved 21 June 2022.
"10 Minutes to cuDF and CuPy". Retrieved 21 June 2022.

nature.com (Global: 207^th place; English: 347^th place)

Charles R Harris; K. Jarrod Millman; Stéfan J. van der Walt; et al. (16 September 2020). "Array programming with NumPy" (PDF). Nature. 585 (7825): 357–362. arXiv:2006.10256. Bibcode:2020Natur.585..357H. doi:10.1038/S41586-020-2649-2. ISSN 1476-4687. PMC 7759461. PMID 32939066. Wikidata Q99413970.

nersc.gov (Global: low place; English: low place)

docs.nersc.gov

National Energy Research Scientific Computing Center. "Using Python on Perlmutter". NERSC Documentation. Retrieved 21 June 2022.

nih.gov (Global: 5^th place; English: 5^th place)

ncbi.nlm.nih.gov

Charles R Harris; K. Jarrod Millman; Stéfan J. van der Walt; et al. (16 September 2020). "Array programming with NumPy" (PDF). Nature. 585 (7825): 357–362. arXiv:2006.10256. Bibcode:2020Natur.585..357H. doi:10.1038/S41586-020-2649-2. ISSN 1476-4687. PMC 7759461. PMID 32939066. Wikidata Q99413970.

pubmed.ncbi.nlm.nih.gov

Charles R Harris; K. Jarrod Millman; Stéfan J. van der Walt; et al. (16 September 2020). "Array programming with NumPy" (PDF). Nature. 585 (7825): 357–362. arXiv:2006.10256. Bibcode:2020Natur.585..357H. doi:10.1038/S41586-020-2649-2. ISSN 1476-4687. PMC 7759461. PMID 32939066. Wikidata Q99413970.

numba.readthedocs.io (Global: low place; English: low place)

"CUDA Array Interface (Version 3)". Numba 0.55.2+0.g2298ad618.dirty-py3.7-linux-x86_64.egg documentation. Retrieved 21 June 2022.

numfocus.org (Global: low place; English: low place)

"Sponsored Projects - NumFOCUS". Retrieved 8 September 2024.

numpy.org (Global: low place; English: low place)

"NumPy". numpy.org. Retrieved 21 June 2022.
"NEP 13 — A mechanism for overriding Ufuncs — NumPy Enhancement Proposals". numpy.org. Retrieved 21 June 2022.
"NEP 18 — A dispatch mechanism for NumPy's high level array functions — NumPy Enhancement Proposals". numpy.org. Retrieved 21 June 2022.

nvidia.com (Global: 2,958^th place; English: 2,263^rd place)

developer.nvidia.com

"CUDA Python | NVIDIA Developer". Retrieved 21 June 2022.

openreview.net (Global: low place; English: low place)

Alex, Rogozhnikov (2022). Einops: Clear and Reliable Tensor Manipulations with Einstein-like Notation. International Conference on Learning Representations.

ornl.gov (Global: 7,319^th place; English: 5,574^th place)

docs.olcf.ornl.gov

Oak Ridge Leadership Computing Facility. "Installing CuPy". OLCF User Documentation. Retrieved 21 June 2022.

phoronix.com (Global: 4,058^th place; English: 2,920^th place)

"CuPy 9.0 Brings AMD GPU Support To This Numpy-Compatible Library - Phoronix". Phoronix. 29 April 2021. Retrieved 21 June 2022.

preferred.jp (Global: low place; English: low place)

"Preferred Networks released Version 2 of Chainer, an Open Source framework for Deep Learning - Preferred Networks, Inc". 2 June 2017. Retrieved 18 June 2022.

rapids.ai (Global: low place; English: low place)

rapids.ai

"Open GPU Data Science | RAPIDS". Retrieved 21 June 2022.

docs.rapids.ai

"API Docs". RAPIDS Docs. Retrieved 21 June 2022.

scikit-learn.org (Global: low place; English: low place)

"Array API support (experimental) — scikit-learn documentation". Retrieved 8 September 2024.

spacy.io (Global: low place; English: low place)

"Install spaCy". spaCy Usage Documentation. Retrieved 21 June 2022.

wikidata.org (Global: 10^th place; English: 98^th place)

Charles R Harris; K. Jarrod Millman; Stéfan J. van der Walt; et al. (16 September 2020). "Array programming with NumPy" (PDF). Nature. 585 (7825): 357–362. arXiv:2006.10256. Bibcode:2020Natur.585..357H. doi:10.1038/S41586-020-2649-2. ISSN 1476-4687. PMC 7759461. PMID 32939066. Wikidata Q99413970.

worldcat.org (Global: 4^th place; English: 4^th place)

search.worldcat.org

Charles R Harris; K. Jarrod Millman; Stéfan J. van der Walt; et al. (16 September 2020). "Array programming with NumPy" (PDF). Nature. 585 (7825): 357–362. arXiv:2006.10256. Bibcode:2020Natur.585..357H. doi:10.1038/S41586-020-2649-2. ISSN 1476-4687. PMC 7759461. PMID 32939066. Wikidata Q99413970.

xgboost.readthedocs.io (Global: low place; English: low place)

"Python Package Introduction". xgboost 1.6.1 documentation. Retrieved 21 June 2022.

CuPy (English Wikipedia)

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amd.com (Global: 2,753rd place; English: 2,229th place)

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arxiv.org (Global: 49th place; English: 31st place)

cupy.dev (Global: low place; English: low place)

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data-apis.org (Global: low place; English: low place)

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doi.org (Global: 2nd place; English: 2nd place)

ethz.ch (Global: 2,203rd place; English: 1,928th place)

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github.com (Global: 380th place; English: 337th place)

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numpy.org (Global: low place; English: low place)

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