E-PUR: An Energy-Efficient Processing Unit for Recurrent Neural Networks

20 November 2017

Papers citing "E-PUR: An Energy-Efficient Processing Unit for Recurrent Neural Networks"

4 / 4 papers shown

Title
A Light-weight Deep Human Activity Recognition Algorithm Using Multi-knowledge Distillation Runze Chen Haiyong Luo Fang Zhao Xuechun Meng Zhiqing Xie Yida Zhu VLM HAI 21 2 0 06 Jul 2021
Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models Amirali Boroumand Saugata Ghose Berkin Akin Ravi Narayanaswami Geraldo F. Oliveira Xiaoyu Ma Eric Shiu O. Mutlu 13 28 0 01 Mar 2021
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference Udit Gupta Samuel Hsia V. Saraph Xiaodong Wang Brandon Reagen Gu-Yeon Wei Hsien-Hsin S. Lee David Brooks Carole-Jean Wu GNN 25 188 0 08 Jan 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016