An in-depth look at Google’s first Tensor Processing Unit (TPU)

Linking pages

My AI Timelines Have Sped Up https://www.alexirpan.com/2020/08/18/ai-timelines.html 130 comments
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento https://blog.inten.to/hardware-for-deep-learning-part-4-asic-96a542fe6a81 8 comments
Why Are Tesla and Google Designing Their Own Processors? | by Kartik Khare | codeburst https://codeburst.io/why-are-tesla-and-google-designing-their-own-processors-e86dfafde673 4 comments
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science https://towardsdatascience.com/how-to-make-your-own-deep-learning-accelerator-chip-1ff69b78ece4 4 comments
DNN Accelerator Architecture – SIMD or Systolic? | SIGARCH https://www.sigarch.org/dnn-accelerator-architecture-simd-or-systolic/ 3 comments
Playing Pokemon Grow with Differentiable Cellular Automata | The Rive Sunder Blog https://rivesunder.gitlab.io/cellular_automata/differentiable_programming/2021/01/08/pokemon_grow.html 1 comment
Why Google believes machine learning is its future | Ars Technica https://arstechnica.com/gadgets/2019/05/googles-machine-learning-strategy-hardware-software-and-lots-of-data/ 0 comments
Why Are Tesla and Google Designing Their Own Processors? | by Kartik Khare | codeburst https://codeburst.io/why-are-tesla-and-google-designing-their-own-processors-e86dfafde673?sk=77c6ab2c69143dea5ffa4cfdbd36a5ab&source=friends_link 0 comments
Deep Learning: Going Deeper toward Meaningful Patterns in Complex Data https://insights.sei.cmu.edu/sei_blog/2018/02/deep-learning-going-deeper-toward-meaningful-patterns-in-complex-data.html 0 comments

Linked pages

Google supercharges machine learning tasks with TPU custom chip | Google Cloud Blog https://cloudplatform.googleblog.com/2016/05/Google-supercharges-machine-learning-tasks-with-custom-chip.html 279 comments
A Neural Network Playground http://playground.tensorflow.org/#activation=tanh&batchSize=10&dataset=circle&regDataset=reg-plane&learningRate=0.03&regularizationRate=0&noise=0&networkShape=4,2&seed=0.44309&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false 236 comments
First In-Depth Look at Google’s TPU Architecture https://www.nextplatform.com/2017/04/05/first-depth-look-googles-tpu-architecture/ 86 comments
Quantifying the performance of the TPU, our first machine learning chip | Google Cloud Blog https://cloudplatform.googleblog.com/2017/04/quantifying-the-performance-of-the-TPU-our-first-machine-learning-chip.html 27 comments
Sigmoid function - Wikipedia https://en.wikipedia.org/wiki/Sigmoid_function 6 comments
Application-specific integrated circuit - Wikipedia http://en.wikipedia.org/wiki/Application-specific_integrated_circuit 5 comments
Long short-term memory - Wikipedia https://en.wikipedia.org/wiki/Long_short-term_memory 4 comments
[1704.04760] In-Datacenter Performance Analysis of a Tensor Processing Unit https://arxiv.org/abs/1704.04760 0 comments
Systolic array - Wikipedia https://en.wikipedia.org/wiki/Systolic_array 0 comments
https://cloud.google.com/blog/big-data/2016/07/understanding-neural-networks-with-tensorflow-playground 0 comments