CUDA (Korean Wikipedia)

Analysis of information sources in references of the Wikipedia article "CUDA" in Korean language version.

Last modified: 10:48:25, 26 May 2026 (UTC)

Ref.Un. Ref.Website

Global rank Korean rank

5150nvidia.com

2,958^th place

404^th place

97arxiv.org

49^th place

28^th place

88doi.org

2^nd place

3^rd place

55web.archive.org

1^st place

55github.com

380^th place

118^th place

44phoronix.com

4,058^th place

1,182^nd place

44semanticscholar.org

15^th place

11^th place

33ieee.org

912^th place

312^th place

22youtube.com

13^th place

18^th place

22nih.gov

5^th place

4^th place

22techpowerup.com

4,057^th place

905^th place

22oneapi.io

low place

21theregister.com

2,921^st place

1,287^th place

21tomshardware.com

3,042^nd place

557^th place

11anandtech.com

1,850^th place

283^rd place

11videomaker.com

low place

11newyorker.com

191^st place

320^th place

11worldcat.org

4^th place

6^th place

11forth.gr

low place

11code.google.com

6,691^st place

1,389^th place

11berkeley.edu

621^st place

413^th place

11escholarship.org

1,477^th place

665^th place

11iwocl.org

low place

11vt.edu

2,818^th place

2,263^rd place

11tician.de

low place

11kered.org

low place

11cupy.dev

low place

11widen.net

low place

11stuffedcow.net

low place

11biocentric.nl

low place

11uxlfoundation.org

low place

11reuters.com

38^th place

43^rd place

anandtech.com (Global: 1,850^th place; Korean: 283^rd place)

Shimpi, Anand Lal; Wilson, Derek (2006년 11월 8일). “Nvidia's GeForce 8800 (G80): GPUs Re-architected for DirectX 10”. AnandTech. 2015년 5월 21일에 원본 문서에서 보존된 문서. 2015년 5월 16일에 확인함.

arxiv.org (Global: 49^th place; Korean: 28^th place)

Luo, Weile; Fan, Ruibo; Li, Zeyu; Du, Dayou; Wang, Qiang; Chu, Xiaowen (2024). “Benchmarking and Dissecting the Nvidia Hopper GPU Architecture”. arXiv:2402.13499v1 [cs.AR].
Sun, Wei; Li, Ang; Geng, Tong; Stuijk, Sander; Corporaal, Henk (2023). 《Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numeric Behaviors》. 《IEEE Transactions on Parallel and Distributed Systems》 34. 246–261쪽. arXiv:2206.02874. doi:10.1109/tpds.2022.3217824. S2CID 249431357.
Raihan, Md Aamir; Goli, Negar; Aamodt, Tor (2018). “Modeling Deep Learning Accelerator Enabled GPUs”. arXiv:1811.08309 [cs.MS].
Jia, Zhe; Maggioni, Marco; Smith, Jeffrey; Daniele Paolo Scarpazza (2019). “Dissecting the NVidia Turing T4 GPU via Microbenchmarking”. arXiv:1903.07486 [cs.DC].
Jia, Zhe; Maggioni, Marco; Staiger, Benjamin; Scarpazza, Daniele P. (2018). “Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking”. arXiv:1804.06826 [cs.DC].
Jia, Zhe; Maggioni, Marco; Smith, Jeffrey; Daniele Paolo Scarpazza (2019). “Dissecting the NVidia Turing T4 GPU via Microbenchmarking”. arXiv:1903.07486 [cs.DC].
참고: Jia, Zhe; Maggioni, Marco; Smith, Jeffrey; Daniele Paolo Scarpazza (2019). “Dissecting the NVidia Turing T4 GPU via Microbenchmarking”. arXiv:1903.07486 [cs.DC]. 에서는 SM 파티션당 2 KiB L0 명령어 캐시와 SM당 16 KiB L1 명령어 캐시라고 주장하며 이와 불일치함

berkeley.edu (Global: 621^st place; Korean: 413^th place)

boinc.berkeley.edu

“Use your Nvidia GPU for scientific computing”. BOINC. 2008년 12월 18일. 2008년 12월 28일에 원본 문서에서 보존된 문서. 2017년 8월 8일에 확인함.

biocentric.nl (Global: low place; Korean: low place)

“nVidia CUDA Bioinformatics: BarraCUDA” (영어). 《BioCentric》. 2019년 7월 19일. 2019년 10월 15일에 확인함.

code.google.com (Global: 6,691^st place; Korean: 1,389^th place)

“Pyrit – Google Code”.

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

“CuPy” (영어). 2020년 1월 8일에 확인함.

doi.org (Global: 2^nd place; Korean: 3^rd place)

dx.doi.org

Vasiliadis, Giorgos; Antonatos, Spiros; Polychronakis, Michalis; Markatos, Evangelos P.; Ioannidis, Sotiris (September 2008). 〈Gnort: High Performance Network Intrusion Detection Using Graphics Processors〉 (PDF). 《Recent Advances in Intrusion Detection》. Lecture Notes in Computer Science 5230. 116–134쪽. doi:10.1007/978-3-540-87403-4_7. ISBN 978-3-540-87402-7.
Schatz, Michael C.; Trapnell, Cole; Delcher, Arthur L.; Varshney, Amitabh (2007). 《High-throughput sequence alignment using Graphics Processing Units》. 《BMC Bioinformatics》 8. 474쪽. doi:10.1186/1471-2105-8-474. PMC 2222658. PMID 18070356.
Manavski, Svetlin A.; Giorgio, Valle (2008). 《CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment》. 《BMC Bioinformatics》 10. S10쪽. doi:10.1186/1471-2105-9-S2-S10. PMC 2323659. PMID 18387198.
Silberstein, Mark; Schuster, Assaf; Geiger, Dan; Patney, Anjul; Owens, John D. (2008). 〈Efficient computation of sum-products on GPUs through software-managed cache〉 (PDF). 《Proceedings of the 22nd annual international conference on Supercomputing – ICS '08》 (PDF). Proceedings of the 22nd annual international conference on Supercomputing – ICS '08. 309–318쪽. doi:10.1145/1375527.1375572. ISBN 978-1-60558-158-3.
Sun, Wei; Li, Ang; Geng, Tong; Stuijk, Sander; Corporaal, Henk (2023). 《Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numeric Behaviors》. 《IEEE Transactions on Parallel and Distributed Systems》 34. 246–261쪽. arXiv:2206.02874. doi:10.1109/tpds.2022.3217824. S2CID 249431357.
Burgess, John (2019). 〈RTX ON – The NVIDIA TURING GPU〉. 《2019 IEEE Hot Chips 31 Symposium (HCS)》. 1–27쪽. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.
Burgess, John (2019). 〈RTX ON – The NVIDIA TURING GPU〉. 《2019 IEEE Hot Chips 31 Symposium (HCS)》. 1–27쪽. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.
SM 파티션당 2클럭 사이클/명령어 Burgess, John (2019). 〈RTX ON – The NVIDIA TURING GPU〉. 《2019 IEEE Hot Chips 31 Symposium (HCS)》. 1–27쪽. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.

escholarship.org (Global: 1,477^th place; Korean: 665^th place)

Silberstein, Mark; Schuster, Assaf; Geiger, Dan; Patney, Anjul; Owens, John D. (2008). 〈Efficient computation of sum-products on GPUs through software-managed cache〉 (PDF). 《Proceedings of the 22nd annual international conference on Supercomputing – ICS '08》 (PDF). Proceedings of the 22nd annual international conference on Supercomputing – ICS '08. 309–318쪽. doi:10.1145/1375527.1375572. ISBN 978-1-60558-158-3.

forth.gr (Global: low place; Korean: low place)

ics.forth.gr

Vasiliadis, Giorgos; Antonatos, Spiros; Polychronakis, Michalis; Markatos, Evangelos P.; Ioannidis, Sotiris (September 2008). 〈Gnort: High Performance Network Intrusion Detection Using Graphics Processors〉 (PDF). 《Recent Advances in Intrusion Detection》. Lecture Notes in Computer Science 5230. 116–134쪽. doi:10.1007/978-3-540-87403-4_7. ISBN 978-3-540-87402-7.

github.com (Global: 380^th place; Korean: 118^th place)

“hughperkins/coriander: Build NVIDIA® CUDA™ code for OpenCL™ 1.2 devices”. GitHub. 2019년 5월 6일.
“GitHub – vosen/ZLUDA”. 《GitHub》.
“GitHub – chip-spv/chipStar”. 《GitHub》.
“asfermi Opcode”. 《GitHub》.
“Question: What does ROCm stand for? · Issue #1628 · RadeonOpenCompute/ROCm”. 《Github.com》. 2022년 1월 18일에 확인함.

ieee.org (Global: 912^th place; Korean: 312^th place)

ieeexplore.ieee.org

Burgess, John (2019). 〈RTX ON – The NVIDIA TURING GPU〉. 《2019 IEEE Hot Chips 31 Symposium (HCS)》. 1–27쪽. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.
Burgess, John (2019). 〈RTX ON – The NVIDIA TURING GPU〉. 《2019 IEEE Hot Chips 31 Symposium (HCS)》. 1–27쪽. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.
SM 파티션당 2클럭 사이클/명령어 Burgess, John (2019). 〈RTX ON – The NVIDIA TURING GPU〉. 《2019 IEEE Hot Chips 31 Symposium (HCS)》. 1–27쪽. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.

iwocl.org (Global: low place; Korean: low place)

Perkins, Hugh (2017). “cuda-on-cl” (PDF). IWOCL. 2017년 8월 8일에 확인함.

kered.org (Global: low place; Korean: low place)

“pycublas”. 2009년 4월 20일에 원본 문서에서 보존된 문서. 2017년 8월 8일에 확인함.

newyorker.com (Global: 191^st place; Korean: 320^th place)

Witt, Stephen (2023년 11월 27일). “How Jensen Huang's Nvidia Is Powering the A.I. Revolution” (미국 영어). 《The New Yorker》. ISSN 0028-792X. 2023년 12월 10일에 확인함.

nih.gov (Global: 5^th place; Korean: 4^th place)

ncbi.nlm.nih.gov

Schatz, Michael C.; Trapnell, Cole; Delcher, Arthur L.; Varshney, Amitabh (2007). 《High-throughput sequence alignment using Graphics Processing Units》. 《BMC Bioinformatics》 8. 474쪽. doi:10.1186/1471-2105-8-474. PMC 2222658. PMID 18070356.
Manavski, Svetlin A.; Giorgio, Valle (2008). 《CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment》. 《BMC Bioinformatics》 10. S10쪽. doi:10.1186/1471-2105-9-S2-S10. PMC 2323659. PMID 18387198.

nvidia.com (Global: 2,958^th place; Korean: 404^th place)

images.nvidia.com

“NVIDIA Ampere GA102 GPU Architecture” (PDF). 《nvidia.com》. 2023년 9월 5일에 확인함.
“Datasheet NVIDIA A40” (PDF). 《nvidia.com》. 2024년 4월 27일에 확인함.
“NVIDIA Turing Architecture Whitepaper” (PDF). 《nvidia.com》. 2023년 9월 5일에 확인함.

news.developer.nvidia.com

“CUDA 1.1 – Now on Mac OS X”. 2008년 2월 14일. 2008년 11월 22일에 원본 문서에서 보존된 문서.

devtalk.nvidia.com

“NVCC forces c++ compilation of .cu files”. 2011년 11월 29일.

devblogs.nvidia.com

Durant, Luke; Giroux, Olivier; Harris, Mark; Stam, Nick (2017년 5월 10일). “Inside Volta: The World's Most Advanced Data Center GPU”. 《Nvidia developer blog》.

oneapi.io (Global: low place; Korean: low place)

“oneAPI Programming Model” (미국 영어). 《oneAPI.io》. 2024년 7월 27일에 확인함.
“Specifications | oneAPI” (미국 영어). 《oneAPI.io》. 2024년 7월 27일에 확인함.

phoronix.com (Global: 4,058^th place; Korean: 1,182^nd place)

“Coriander Project: Compile CUDA Codes To OpenCL, Run Everywhere”. Phoronix.
Larabel, Michael (2024년 2월 12일), “AMD Quietly Funded A Drop-In CUDA Implementation Built On ROCm: It's Now Open-Source” (영어), 《Phoronix》, 2024년 2월 12일에 확인함
Larabel, Michael (2017년 3월 29일). “NVIDIA Rolls Out Tegra X2 GPU Support In Nouveau”. Phoronix. 2017년 8월 8일에 확인함.
“NVIDIA Bringing up Open-Source Volta GPU Support for Their Xavier SoC”.

reuters.com (Global: 38^th place; Korean: 43^rd place)

“Exclusive: Behind the plot to break Nvidia's grip on AI by targeting software”. 《로이터》. 2024년 4월 5일에 확인함.

semanticscholar.org (Global: 15^th place; Korean: 11^th place)

api.semanticscholar.org

Sun, Wei; Li, Ang; Geng, Tong; Stuijk, Sander; Corporaal, Henk (2023). 《Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numeric Behaviors》. 《IEEE Transactions on Parallel and Distributed Systems》 34. 246–261쪽. arXiv:2206.02874. doi:10.1109/tpds.2022.3217824. S2CID 249431357.
Burgess, John (2019). 〈RTX ON – The NVIDIA TURING GPU〉. 《2019 IEEE Hot Chips 31 Symposium (HCS)》. 1–27쪽. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.
Burgess, John (2019). 〈RTX ON – The NVIDIA TURING GPU〉. 《2019 IEEE Hot Chips 31 Symposium (HCS)》. 1–27쪽. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.
SM 파티션당 2클럭 사이클/명령어 Burgess, John (2019). 〈RTX ON – The NVIDIA TURING GPU〉. 《2019 IEEE Hot Chips 31 Symposium (HCS)》. 1–27쪽. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.

stuffedcow.net (Global: low place; Korean: low place)

“Demystifying GPU Microarchitecture through Microbenchmarking” (PDF).

techpowerup.com (Global: 4,057^th place; Korean: 905^th place)

“NVIDIA Quadro NVS 420 Specs”. 《TechPowerUp GPU Database》. 2023년 8월 25일.
Nvidia Xavier Specs on TechPowerUp (preliminary)

theregister.com (Global: 2,921^st place; Korean: 1,287^th place)

Shah, Agam. “Nvidia not totally against third parties making CUDA chips” (영어). 《www.theregister.com》. 2024년 4월 25일에 확인함.

tician.de (Global: low place; Korean: low place)

mathema.tician.de

“PyCUDA”.

tomshardware.com (Global: 3,042^nd place; Korean: 557^th place)

Abi-Chahla, Fedy (2008년 6월 18일). “Nvidia's CUDA: The End of the CPU?”. Tom's Hardware. 2015년 5월 17일에 확인함.

uxlfoundation.org (Global: low place; Korean: low place)

oneapi-spec.uxlfoundation.org

“oneAPI Specification — oneAPI Specification 1.3-rev-1 documentation”. 《oneapi-spec.uxlfoundation.org》. 2024년 7월 27일에 확인함.

videomaker.com (Global: low place; Korean: low place)

Zunitch, Peter (2018년 1월 24일). “CUDA vs. OpenCL vs. OpenGL” (미국 영어). 《Videomaker》. 2018년 9월 16일에 확인함.

vt.edu (Global: 2,818^th place; Korean: 2,263^rd place)

chrec.cs.vt.edu

“CU2CL Documentation”. 《chrec.cs.vt.edu》.

web.archive.org (Global: 1^st place; Korean: 1^st place)

Shimpi, Anand Lal; Wilson, Derek (2006년 11월 8일). “Nvidia's GeForce 8800 (G80): GPUs Re-architected for DirectX 10”. AnandTech. 2015년 5월 21일에 원본 문서에서 보존된 문서. 2015년 5월 16일에 확인함.
“Use your Nvidia GPU for scientific computing”. BOINC. 2008년 12월 18일. 2008년 12월 28일에 원본 문서에서 보존된 문서. 2017년 8월 8일에 확인함.
“Nvidia CUDA Software Development Kit (CUDA SDK) – Release Notes Version 2.0 for MAC OS X”. 2009년 1월 6일에 원본 문서에서 보존된 문서.
“CUDA 1.1 – Now on Mac OS X”. 2008년 2월 14일. 2008년 11월 22일에 원본 문서에서 보존된 문서.
“pycublas”. 2009년 4월 20일에 원본 문서에서 보존된 문서. 2017년 8월 8일에 확인함.

widen.net (Global: low place; Korean: low place)

nvdam.widen.net

NVIDIA H100 Tensor Core GPU Architecture

worldcat.org (Global: 4^th place; Korean: 6^th place)

Witt, Stephen (2023년 11월 27일). “How Jensen Huang's Nvidia Is Powering the A.I. Revolution” (미국 영어). 《The New Yorker》. ISSN 0028-792X. 2023년 12월 10일에 확인함.

CUDA (Korean Wikipedia)

anandtech.com (Global: 1,850th place; Korean: 283rd place)

arxiv.org (Global: 49th place; Korean: 28th place)

berkeley.edu (Global: 621st place; Korean: 413th place)

boinc.berkeley.edu

biocentric.nl (Global: low place; Korean: low place)

code.google.com (Global: 6,691st place; Korean: 1,389th place)

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

doi.org (Global: 2nd place; Korean: 3rd place)

dx.doi.org

escholarship.org (Global: 1,477th place; Korean: 665th place)

forth.gr (Global: low place; Korean: low place)

ics.forth.gr

github.com (Global: 380th place; Korean: 118th place)

ieee.org (Global: 912th place; Korean: 312th place)

ieeexplore.ieee.org

iwocl.org (Global: low place; Korean: low place)

kered.org (Global: low place; Korean: low place)

newyorker.com (Global: 191st place; Korean: 320th place)

nih.gov (Global: 5th place; Korean: 4th place)

ncbi.nlm.nih.gov

nvidia.com (Global: 2,958th place; Korean: 404th place)

docs.nvidia.com

developer.download.nvidia.com

developer.nvidia.com

nvidia.com

images.nvidia.com

news.developer.nvidia.com

devtalk.nvidia.com

devblogs.nvidia.com

oneapi.io (Global: low place; Korean: low place)

phoronix.com (Global: 4,058th place; Korean: 1,182nd place)

reuters.com (Global: 38th place; Korean: 43rd place)

semanticscholar.org (Global: 15th place; Korean: 11th place)

api.semanticscholar.org

stuffedcow.net (Global: low place; Korean: low place)

techpowerup.com (Global: 4,057th place; Korean: 905th place)

theregister.com (Global: 2,921st place; Korean: 1,287th place)

tician.de (Global: low place; Korean: low place)

mathema.tician.de

tomshardware.com (Global: 3,042nd place; Korean: 557th place)

uxlfoundation.org (Global: low place; Korean: low place)

oneapi-spec.uxlfoundation.org

videomaker.com (Global: low place; Korean: low place)

vt.edu (Global: 2,818th place; Korean: 2,263rd place)

chrec.cs.vt.edu

web.archive.org (Global: 1st place; Korean: 1st place)

widen.net (Global: low place; Korean: low place)

nvdam.widen.net

worldcat.org (Global: 4th place; Korean: 6th place)

youtube.com (Global: 13th place; Korean: 18th place)

anandtech.com (Global: 1,850^th place; Korean: 283^rd place)

arxiv.org (Global: 49^th place; Korean: 28^th place)

berkeley.edu (Global: 621^st place; Korean: 413^th place)

code.google.com (Global: 6,691^st place; Korean: 1,389^th place)

doi.org (Global: 2^nd place; Korean: 3^rd place)

escholarship.org (Global: 1,477^th place; Korean: 665^th place)

github.com (Global: 380^th place; Korean: 118^th place)

ieee.org (Global: 912^th place; Korean: 312^th place)

newyorker.com (Global: 191^st place; Korean: 320^th place)

nih.gov (Global: 5^th place; Korean: 4^th place)

nvidia.com (Global: 2,958^th place; Korean: 404^th place)

phoronix.com (Global: 4,058^th place; Korean: 1,182^nd place)

reuters.com (Global: 38^th place; Korean: 43^rd place)

semanticscholar.org (Global: 15^th place; Korean: 11^th place)

techpowerup.com (Global: 4,057^th place; Korean: 905^th place)

theregister.com (Global: 2,921^st place; Korean: 1,287^th place)

tomshardware.com (Global: 3,042^nd place; Korean: 557^th place)

vt.edu (Global: 2,818^th place; Korean: 2,263^rd place)

web.archive.org (Global: 1^st place; Korean: 1^st place)

worldcat.org (Global: 4^th place; Korean: 6^th place)

youtube.com (Global: 13^th place; Korean: 18^th place)