[置頂] 人工智能（深度學習）加速芯片論文閱讀筆記 （已添加ISSCC17，FPGA17...ISCA17...）

這是一個導讀，能夠快速找到我記錄的關於人工智能（深度學習）加速芯片論文閱讀筆記。

ISSCC 2017 Session14 Deep Learning Processors:

ISSCC 2017關於Deep Learning Processors的Slides筆記，主要參考了[1]中的筆記，本身根據paper和slides讀一遍，這裏記一下筆記，方便之後查閱。

14.1 A 2.9TOPS/W Deep Convolutional Neural Network SoC in FD-SOI 28nm for Intelligent Embedded Systems

14.2 DNPU: An 8.1TOPS/W Reconfigurable CNN-RNN Processor for General-Purpose Deep Neural Networks

14.3 A 28nm SoC with a 1.2GHz 568nJ/Prediction Sparse Deep-Neural-Network Engine with >0.1 Timing Error Rate Tolerance for IoT Applications

14.4 A Scalable Speech Recognizer with Deep-Neural-Network Acoustic Models and Voice-Activated Power Gating

14.5 ENVISION: A 0.26-to-10TOPS/W Subword-Parallel Dynamic-Voltage-Accuracy-Frequency-Scalable Convolutional Neural Network Processor in 28nm FDSOI

14.6 A 0.62mW Ultra-Low-Power Convolutional-Neural-Network Face-Recognition Processor and a CIS Integrated with Always-On Haar-Like Face Detector

14.7 A 288μW Programmable Deep-Learning Processor with 270KB On-Chip Weight Storage Using Non-Uniform Memory Hierarchy for Mobile Intelligence

14.8 A 135mW Fully Integrated Data Processor for Next-Generation Sequencing

ASPLOS'17論文導讀——SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing

FPGA 17最佳論文導讀 ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA

ISCA 2017：

Machine Learning Session 1,2：

待補充...

參考資料

[1] https://reconfigdeeplearning.com/2017/02/10/isscc-2017-session-14-dlp/