AI

2018年5月17日 (四) 18:41的最后版本

Tensor Processing Unit(or TPUs) are application-specific integrated circuits (ASICs) developed specifically for machine learning.

Paper
Blog Quantifying the performance of the TPU, our first machine learning chip 2017-04-05

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 * [[基于忆阻器的DLA]]
+* [https://zhuanlan.zhihu.com/p/20924929  从OpenAI看深度学习研究前沿]
+* [http://blog.csdn.net/cv_family_z/article/details/51917143 CNN网络二值化--XNOR-Net]
+* [https://zhuanlan.zhihu.com/p/23255679 寒武纪——一个神经网络指令集架构]
+获取人工智能AI前沿信息 https://zhuanlan.zhihu.com/p/21263408?refer=intelligentunit
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+== Hardware ==
+=== GPU Architecture ===
+* [http://haifux.org/lectures/267/Introduction-to-GPUs.pdf Introduction to GPU architecture]
+* [[Nvidia GPU Architecture]]
+<br><br>
+=== TPU Architecture ===
+Tensor Processing Unit(or TPUs) are application-specific integrated circuits (ASICs) developed specifically for machine learning.
+* [https://drive.google.com/file/d/0Bx4hafXDDq2EMzRNcy1vSUxtcEk/view Paper]
+* [https://cloudplatform.googleblog.com/2017/04/quantifying-the-performance-of-the-TPU-our-first-machine-learning-chip.html Blog] Quantifying the performance of the TPU, our first machine learning chip 2017-04-05
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