Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks

5 December 2017

Papers citing "Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks"

8 / 58 papers shown

Title
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array Linghao Song Jiachen Mao Youwei Zhuo Xuehai Qian Hai Helen Li Yiran Chen 30 97 0 07 Jan 2019
Precision Highway for Ultra Low-Precision Quantization Eunhyeok Park Dongyoung Kim S. Yoo Peter Vajda MQ AI4TS 21 12 0 24 Dec 2018
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications Jongsoo Park Maxim Naumov Protonu Basu Summer Deng Aravind Kalaiah ... Lin Qiao Vijay Rao Nadav Rotem S. Yoo M. Smelyanskiy FedML GNN BDL 20 187 0 24 Nov 2018
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Jackson Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 71 872 0 21 Nov 2018
Morph: Flexible Acceleration for 3D CNN-based Video Understanding Kartik Hegde R. Agrawal Yulun Yao Christopher W. Fletcher 33 71 0 16 Oct 2018
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA Cheng Fu Shilin Zhu Hao Su Ching-En Lee Jishen Zhao MQ 25 31 0 04 Oct 2018
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks Amir Yazdanbakhsh Hajar Falahati Philip J. Wolfe K. Samadi Nam Sung Kim H. Esmaeilzadeh 30 71 0 10 May 2018
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks Chaim Baskin Eli Schwartz Evgenii Zheltonozhskii Natan Liss Raja Giryes A. Bronstein A. Mendelson MQ 22 45 0 29 Apr 2018