CUDA (English Wikipedia)

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

refsWebsite

Global rank English rank

52nvidia.com

2,503^rd place

1,760^th place

8doi.org

2^nd place

7arxiv.org

69^th place

59^th place

5web.archive.org

1^st place

5github.com

383^rd place

320^th place

4phoronix.com

4,683^rd place

3,096^th place

4semanticscholar.org

11^th place

8^th place

4nih.gov

4^th place

3ieee.org

652^nd place

515^th place

2youtube.com

9^th place

13^th place

2techpowerup.com

4,960^th place

3,052^nd place

2oneapi.io

low place

1theregister.com

3,700^th place

2,360^th place

1anandtech.com

1,383^rd place

878^th place

1tomshardware.com

2,976^th place

1,939^th place

1videomaker.com

low place

1newyorker.com

146^th place

110^th place

1worldcat.org

5^th place

1forth.gr

low place

1code.google.com

4,942^nd place

4,061^st place

1berkeley.edu

580^th place

462^nd place

1escholarship.org

1,523^rd place

976^th place

1iwocl.org

low place

1vt.edu

2,431^st place

1,607^th place

1tician.de

low place

1kered.org

low place

1cupy.dev

low place

1widen.net

low place

1stuffedcow.net

low place

1biocentric.nl

low place

1uxlfoundation.org

low place

1reuters.com

49^th place

47^th place

anandtech.com

Shimpi, Anand Lal; Wilson, Derek (November 8, 2006). "Nvidia's GeForce 8800 (G80): GPUs Re-architected for DirectX 10". AnandTech. Retrieved May 16, 2015.

arxiv.org

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 (1): 246–261. 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].
Note that Jia, Zhe; Maggioni, Marco; Smith, Jeffrey; Daniele Paolo Scarpazza (2019). "Dissecting the NVidia Turing T4 GPU via Microbenchmarking". arXiv:1903.07486 [cs.DC]. disagrees and states 2 KiB L0 instruction cache per SM partition and 16 KiB L1 instruction cache per SM

berkeley.edu

boinc.berkeley.edu

"Use your Nvidia GPU for scientific computing". BOINC. 2008-12-18. Archived from the original on 2008-12-28. Retrieved 2017-08-08.

biocentric.nl

"nVidia CUDA Bioinformatics: BarraCUDA". BioCentric. 2019-07-19. Retrieved 2019-10-15.

code.google.com

"Pyrit – Google Code".

cupy.dev

"CuPy". Retrieved 2020-01-08.

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. Vol. 5230. pp. 116–134. 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: 474. 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 (Suppl 2): S10. 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. pp. 309–318. 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 (1): 246–261. 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). pp. 1–27. 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). pp. 1–27. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.
2 clock cycles/instruction for each SM partition Burgess, John (2019). "RTX ON – The NVIDIA TURING GPU". 2019 IEEE Hot Chips 31 Symposium (HCS). pp. 1–27. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.

escholarship.org

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. pp. 309–318. doi:10.1145/1375527.1375572. ISBN 978-1-60558-158-3.

forth.gr

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. Vol. 5230. pp. 116–134. doi:10.1007/978-3-540-87403-4_7. ISBN 978-3-540-87402-7.

github.com

"hughperkins/coriander: Build NVIDIA® CUDA™ code for OpenCL™ 1.2 devices". GitHub. May 6, 2019.
"GitHub – vosen/ZLUDA". GitHub.
"GitHub – chip-spv/chipStar". GitHub.
"asfermi Opcode". GitHub.
"Question: What does ROCm stand for? · Issue #1628 · RadeonOpenCompute/ROCm". Github.com. Retrieved January 18, 2022.

ieee.org

ieeexplore.ieee.org

Burgess, John (2019). "RTX ON – The NVIDIA TURING GPU". 2019 IEEE Hot Chips 31 Symposium (HCS). pp. 1–27. 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). pp. 1–27. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.
2 clock cycles/instruction for each SM partition Burgess, John (2019). "RTX ON – The NVIDIA TURING GPU". 2019 IEEE Hot Chips 31 Symposium (HCS). pp. 1–27. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.

iwocl.org

Perkins, Hugh (2017). "cuda-on-cl" (PDF). IWOCL. Retrieved August 8, 2017.

kered.org

"pycublas". Archived from the original on 2009-04-20. Retrieved 2017-08-08.

newyorker.com

Witt, Stephen (2023-11-27). "How Jensen Huang's Nvidia Is Powering the A.I. Revolution". The New Yorker. ISSN 0028-792X. Retrieved 2023-12-10.

nih.gov

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: 474. 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 (Suppl 2): S10. doi:10.1186/1471-2105-9-S2-S10. PMC 2323659. PMID 18387198.

pubmed.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: 474. 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 (Suppl 2): S10. doi:10.1186/1471-2105-9-S2-S10. PMC 2323659. PMID 18387198.

nvidia.com

images.nvidia.com

"NVIDIA Ampere GA102 GPU Architecture" (PDF). nvidia.com. Retrieved 5 September 2023.
"Datasheet NVIDIA A40" (PDF). nvidia.com. Retrieved 27 April 2024.
"NVIDIA Turing Architecture Whitepaper" (PDF). nvidia.com. Retrieved 5 September 2023.

news.developer.nvidia.com

"CUDA 1.1 – Now on Mac OS X". February 14, 2008. Archived from the original on November 22, 2008.

devtalk.nvidia.com

"NVCC forces c++ compilation of .cu files". 29 November 2011.

devblogs.nvidia.com

Durant, Luke; Giroux, Olivier; Harris, Mark; Stam, Nick (May 10, 2017). "Inside Volta: The World's Most Advanced Data Center GPU". Nvidia developer blog.

oneapi.io

"oneAPI Programming Model". oneAPI.io. Retrieved 2024-07-27.
"Specifications | oneAPI". oneAPI.io. Retrieved 2024-07-27.

phoronix.com

"Coriander Project: Compile CUDA Codes To OpenCL, Run Everywhere". Phoronix.
Larabel, Michael (2024-02-12), "AMD Quietly Funded A Drop-In CUDA Implementation Built On ROCm: It's Now Open-Source", Phoronix, retrieved 2024-02-12
Larabel, Michael (March 29, 2017). "NVIDIA Rolls Out Tegra X2 GPU Support In Nouveau". Phoronix. Retrieved August 8, 2017.
"NVIDIA Bringing up Open-Source Volta GPU Support for Their Xavier SoC".

reuters.com

"Exclusive: Behind the plot to break Nvidia's grip on AI by targeting software". Reuters. Retrieved 2024-04-05.

semanticscholar.org

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 (1): 246–261. 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). pp. 1–27. 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). pp. 1–27. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.
2 clock cycles/instruction for each SM partition Burgess, John (2019). "RTX ON – The NVIDIA TURING GPU". 2019 IEEE Hot Chips 31 Symposium (HCS). pp. 1–27. doi:10.1109/HOTCHIPS.2019.8875651. ISBN 978-1-7281-2089-8. S2CID 204822166.

stuffedcow.net

"Demystifying GPU Microarchitecture through Microbenchmarking" (PDF).

techpowerup.com

"NVIDIA Quadro NVS 420 Specs". TechPowerUp GPU Database. 25 August 2023.
Nvidia Xavier Specs on TechPowerUp (preliminary)

theregister.com

Shah, Agam. "Nvidia not totally against third parties making CUDA chips". www.theregister.com. Retrieved 2024-04-25.

tician.de

mathema.tician.de

"PyCUDA".

tomshardware.com

Abi-Chahla, Fedy (June 18, 2008). "Nvidia's CUDA: The End of the CPU?". Tom's Hardware. Retrieved May 17, 2015.

uxlfoundation.org

oneapi-spec.uxlfoundation.org

"oneAPI Specification — oneAPI Specification 1.3-rev-1 documentation". oneapi-spec.uxlfoundation.org. Retrieved 2024-07-27.

videomaker.com

Zunitch, Peter (2018-01-24). "CUDA vs. OpenCL vs. OpenGL". Videomaker. Retrieved 2018-09-16.

vt.edu

chrec.cs.vt.edu

"CU2CL Documentation". chrec.cs.vt.edu.

web.archive.org

"NVIDIA® CUDA™ Unleashes Power of GPU Computing - Press Release". nvidia.com. Archived from the original on 29 March 2007. Retrieved 26 January 2025.
"Use your Nvidia GPU for scientific computing". BOINC. 2008-12-18. Archived from the original on 2008-12-28. Retrieved 2017-08-08.
"Nvidia CUDA Software Development Kit (CUDA SDK) – Release Notes Version 2.0 for MAC OS X". Archived from the original on 2009-01-06.
"CUDA 1.1 – Now on Mac OS X". February 14, 2008. Archived from the original on November 22, 2008.
"pycublas". Archived from the original on 2009-04-20. Retrieved 2017-08-08.

widen.net

nvdam.widen.net

NVIDIA H100 Tensor Core GPU Architecture

worldcat.org

search.worldcat.org

Witt, Stephen (2023-11-27). "How Jensen Huang's Nvidia Is Powering the A.I. Revolution". The New Yorker. ISSN 0028-792X. Retrieved 2023-12-10.

CUDA (English Wikipedia)

anandtech.com

arxiv.org

berkeley.edu

boinc.berkeley.edu

biocentric.nl

code.google.com

cupy.dev

doi.org

escholarship.org

forth.gr

ics.forth.gr

github.com

ieee.org

ieeexplore.ieee.org

iwocl.org

kered.org

newyorker.com

nih.gov

ncbi.nlm.nih.gov

pubmed.ncbi.nlm.nih.gov

nvidia.com

docs.nvidia.com

developer.nvidia.com

developer.download.nvidia.com

nvidia.com

images.nvidia.com

news.developer.nvidia.com

devtalk.nvidia.com

devblogs.nvidia.com

oneapi.io

phoronix.com

reuters.com

semanticscholar.org

api.semanticscholar.org

stuffedcow.net

techpowerup.com

theregister.com

tician.de

mathema.tician.de

tomshardware.com

uxlfoundation.org

oneapi-spec.uxlfoundation.org

videomaker.com

vt.edu

chrec.cs.vt.edu

web.archive.org

widen.net

nvdam.widen.net

worldcat.org

search.worldcat.org

youtube.com