The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design

• Found on Nov 20 2019 from https://arxiv.org/pdf/1911.05289.pdf
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Nov 20 2019 hardmaru

The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design Paper from @JeffDean provides his views on specialized hardware for ML, how ML can play a role in chip design and manufacturing, and future ML research directions https://arxiv.org/abs/1911.05289 https://t.co/IpGkWpLrQI

Feb 09 2020 Raziel Alvarez

Anybody attending ISSCC 2020 (http://isscc.org) next Sunday I'll be giving a talk on deep learning, #TensorFlow and Edge devices. Also recommend attending @JeffDean's talk on the implications of deep learning on chip design (http://arxiv.org/abs/1911.05289)

Nov 07 2019 OGAWA, Tadashi

=> Domain Specific Architectures for DNNs: Three Generations of TPUs, David Patterson, Distinguished Lecture, UW, Oct 29, 2019 https://www.youtube.com/watch?v=VCScWh966u4 TPUv2 (46 TF (16b), TDP: 280 W, <611 mm^2, >12 nm) 4x ICI link: 500 Gb/s both-dir, 13% TPUv3 (123 TF (16b), 40 W, <648, >12) https://t.co/YX119CBsAp

Nov 21 2019 Hacker News

Deep Learning and Its Implications for Computer Architecture and Chip Design https://arxiv.org/abs/1911.05289

Jan 09 2020 Stephen Pimentel

The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design by @JeffDean https://arxiv.org/abs/1911.05289

Nov 20 2019 LightOn

We love it! Our own co-design approach also includes the exciting electro-optical technology stack. https://t.co/dNg3rFUtxX

Nov 19 2019 Dave Gershgorn

Google's Jeff Dean essentially posted a blog on ArXiv the other day, talking about Google's investments in custom silicon. "The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design" https://arxiv.org/pdf/1911.05289.pdf

Nov 20 2019 OGAWA, Tadashi

=> "The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design", Jeffrey Dean, Google, Nov 13, 2019 https://arxiv.org/abs/1911.05289 Companion paper to a keynote at the ISSCC 2020. https://twitter.com/ogawa_tter/status/1187541384212836353 David Patterson https://twitter.com/ogawa_tter/status/1192329877963149312 TPUv2 / v3 https://t.co/ytyNeZ8HSJ

Feb 19 2020 OGAWA, Tadashi

"Guess which open source core is Google using to benchmarks their AI-driven IC placement engine?", Prof. Luca Benini, Feb 18, 2020 https://twitter.com/LucaBeniniZhFe/status/1229506194991190016 Jeffrey Dean, Companion paper to a keynote at the ISSCC 2020

Jan 09 2020 OGAWA, Tadashi

=> ISSCC 2020, Feb 16-20, 2020 http://isscc.org/ ISSCC 2020 Advanced Program http://submissions2.mirasmart.com/ISSCC2020/PDF/ISSCC2020AdvanceProgram.pdf Zen 2, AMD Chiplet IBM z15: A 12-Core 5.2GHz ML: Alibaba 3GHz ARM Neoverse N1 Compute-In-Memory Companion paper to a keynote, ISSCC 2020, Jeff Dean https://twitter.com/ogawa_tter/status/1197243295400726528 https://t.co/AdA7wXjJcX

Nov 20 2019 Fei Peng

[1911.05289] The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design https://arxiv.org/abs/1911.05289

Nov 17 2019 Muzaffer Kal

The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design https://arxiv.org/abs/1911.05289

Nov 21 2019 jafbm🧢

machine learning may be able to help with some aspects of the circuit design process #AI https://arxiv.org/abs/1911.05289

Nov 26 2019 HotComputerScience

Most popular computer science paper of the day: "The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design" https://hotcomputerscience.com/paper/the-deep-learning-revolution-and-its-implications-for-computer-architecture-and-chip-design https://twitter.com/hardmaru/status/1197020514671218688

Nov 21 2019 Milos Gajdos

Jeff Dean wrote a paper about the implications of Deep Learning on Computer architecture and chip design https://arxiv.org/abs/1911.05289

Dec 26 2019 Alessandro Baffa

"The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design" by Jeffrey Dean. https://arxiv.org/abs/1911.05289

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