张量处理单元 (Chinese Wikipedia)
Analysis of information sources in references of the Wikipedia article "张量处理单元" in Chinese language version.
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- Mirhoseini, Azalia; Goldie, Anna. A graph placement methodology for fast chip design (PDF). Nature. 2021-06-01, 594 (7962): 207–212 [2023-06-04]. PMID 35361999. S2CID 247855593. doi:10.1038/s41586-022-04657-6.
anandtech.com
- Frumusanu, Andre. Google I/O Opening Keynote Live-Blog. 8 May 2018 [9 May 2018]. （原始内容存档于2021-11-18）.
arstechnica.com
- Bright, Peter. Google brings 45 teraflops tensor flow processors to its compute cloud. Ars Technica. 17 May 2017 [30 May 2017]. （原始内容存档于2022-03-06）.
arxiv.org
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Jouppi, Norman P.; Young, Cliff; Patil, Nishant; Patterson, David; Agrawal, Gaurav; Bajwa, Raminder; Bates, Sarah; Bhatia, Suresh; Boden, Nan; Borchers, Al; Boyle, Rick; Cantin, Pierre-luc; Chao, Clifford; Clark, Chris; Coriell, Jeremy; Daley, Mike; Dau, Matt; Dean, Jeffrey; Gelb, Ben; Ghaemmaghami, Tara Vazir; Gottipati, Rajendra; Gulland, William; Hagmann, Robert; Ho, C. Richard; Hogberg, Doug; Hu, John; Hundt, Robert; Hurt, Dan; Ibarz, Julian; Jaffey, Aaron; Jaworski, Alek; Kaplan, Alexander; Khaitan, Harshit; Koch, Andy; Kumar, Naveen; Lacy, Steve; Laudon, James; Law, James; Le, Diemthu; Leary, Chris; Liu, Zhuyuan; Lucke, Kyle; Lundin, Alan; MacKean, Gordon; Maggiore, Adriana; Mahony, Maire; Miller, Kieran; Nagarajan, Rahul; Narayanaswami, Ravi; Ni, Ray; Nix, Kathy; Norrie, Thomas; Omernick, Mark; Penukonda, Narayana; Phelps, Andy; Ross, Jonathan; Ross, Matt; Salek, Amir; Samadiani, Emad; Severn, Chris; Sizikov, Gregory; Snelham, Matthew; Souter, Jed; Steinberg, Dan; Swing, Andy; Tan, Mercedes; Thorson, Gregory; Tian, Bo; Toma, Horia; Tuttle, Erick; Vasudevan, Vijay; Walter, Richard; Wang, Walter; Wilcox, Eric; Yoon, Doe Hyun. In-Datacenter Performance Analysis of a Tensor Processing Unit™. Toronto, Canada. June 26, 2017. arXiv:1704.04760
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cloud.google.com
- 云张量处理单元 (TPU) | Cloud TPU. Google Cloud. [2020-07-20]. （原始内容存档于2021-06-13） （中文（中国大陆））.
- Introducing Trillium, sixth-generation TPUs. Google Cloud Blog. [2024-05-17] （美国英语）.
- Cloud TPU. Google Cloud. [2021-05-21] （英语）.
doi.org
- Mirhoseini, Azalia; Goldie, Anna. A graph placement methodology for fast chip design (PDF). Nature. 2021-06-01, 594 (7962): 207–212 [2023-06-04]. PMID 35361999. S2CID 247855593. doi:10.1038/s41586-022-04657-6.
googleblog.com
cloudplatform.googleblog.com
- Jouppi, Norm. Google supercharges machine learning tasks with TPU custom chip. Google Cloud Platform Blog. May 18, 2016 [2017-01-22]. （原始内容存档于2016-05-18） （美国英语）.
nextplatform.com
- Teich, Paul. Tearing Apart Google's TPU 3.0 AI Coprocessor. The Next Platform. 10 May 2018 [14 May 2018]. （原始内容存档于2022-05-15）.
nih.gov
ncbi.nlm.nih.gov
- Mirhoseini, Azalia; Goldie, Anna. A graph placement methodology for fast chip design (PDF). Nature. 2021-06-01, 594 (7962): 207–212 [2023-06-04]. PMID 35361999. S2CID 247855593. doi:10.1038/s41586-022-04657-6.
nytimes.com
- Google Makes Its Special A.I. Chips Available to Others. The New York Times. [2018-02-12]. （原始内容存档于2022-04-08） （英语）.
pcworld.com
- Google's Tensor Processing Unit could advance Moore's Law 7 years into the future. PCWorld. [2017-01-19]. （原始内容存档于2019-02-18） （英语）.
semanticscholar.org
api.semanticscholar.org
- Mirhoseini, Azalia; Goldie, Anna. A graph placement methodology for fast chip design (PDF). Nature. 2021-06-01, 594 (7962): 207–212 [2023-06-04]. PMID 35361999. S2CID 247855593. doi:10.1038/s41586-022-04657-6.
servethehome.com
- Kennedy, Patrick. Case Study on the Google TPU and GDDR5 from Hot Chips 29. Serve The Home. 22 August 2017 [23 August 2017]. （原始内容存档于2021-11-23）.
- Kennedy, Patrick. Google Cloud TPU Details Revealed. Serve The Home. 17 May 2017 [30 May 2017]. （原始内容存档于2022-06-12）.
techradar.com
- Google's Tensor Processing Unit explained: this is what the future of computing looks like. TechRadar. [2017-01-19]. （原始内容存档于2022-02-26） （英语）.
tomshardware.com
- Armasu, Lucian. Google's Big Chip Unveil For Machine Learning: Tensor Processing Unit With 10x Better Efficiency (Updated). Tom's Hardware. 2016-05-19 [2016-06-26].
top500.org
- Feldman, Michael. Google Offers Glimpse of Third-Generation TPU Processor. Top 500. 11 May 2018 [14 May 2018]. （原始内容存档于2021-11-18）.
web.archive.org
- 云张量处理单元 (TPU) | Cloud TPU. Google Cloud. [2020-07-20]. （原始内容存档于2021-06-13） （中文（中国大陆））.
- Google's Tensor Processing Unit explained: this is what the future of computing looks like. TechRadar. [2017-01-19]. （原始内容存档于2022-02-26） （英语）.
- Jouppi, Norm. Google supercharges machine learning tasks with TPU custom chip. Google Cloud Platform Blog. May 18, 2016 [2017-01-22]. （原始内容存档于2016-05-18） （美国英语）.
- "TensorFlow: Open source machine learning" （页面存档备份，存于互联网档案馆） "It is machine learning software being used for various kinds of perceptual and language understanding tasks" — Jeffrey Dean, minute 0:47 / 2:17 from Youtube clip
- Google Makes Its Special A.I. Chips Available to Others. The New York Times. [2018-02-12]. （原始内容存档于2022-04-08） （英语）.
- Google's Tensor Processing Unit could advance Moore's Law 7 years into the future. PCWorld. [2017-01-19]. （原始内容存档于2019-02-18） （英语）.
- Kennedy, Patrick. Case Study on the Google TPU and GDDR5 from Hot Chips 29. Serve The Home. 22 August 2017 [23 August 2017]. （原始内容存档于2021-11-23）.
- Bright, Peter. Google brings 45 teraflops tensor flow processors to its compute cloud. Ars Technica. 17 May 2017 [30 May 2017]. （原始内容存档于2022-03-06）.
- Kennedy, Patrick. Google Cloud TPU Details Revealed. Serve The Home. 17 May 2017 [30 May 2017]. （原始内容存档于2022-06-12）.
- Frumusanu, Andre. Google I/O Opening Keynote Live-Blog. 8 May 2018 [9 May 2018]. （原始内容存档于2021-11-18）.
- Feldman, Michael. Google Offers Glimpse of Third-Generation TPU Processor. Top 500. 11 May 2018 [14 May 2018]. （原始内容存档于2021-11-18）.
- Teich, Paul. Tearing Apart Google's TPU 3.0 AI Coprocessor. The Next Platform. 10 May 2018 [14 May 2018]. （原始内容存档于2022-05-15）.
youtube.com
- "TensorFlow: Open source machine learning" （页面存档备份，存于互联网档案馆） "It is machine learning software being used for various kinds of perceptual and language understanding tasks" — Jeffrey Dean, minute 0:47 / 2:17 from Youtube clip