Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going

21 January 2019

Papers citing "Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going"

7 / 7 papers shown

Title
NeuraLUT: Hiding Neural Network Density in Boolean Synthesizable Functions Marta Andronic G. Constantinides 21 5 0 29 Feb 2024
AI Accelerator Survey and Trends Albert Reuther Peter Michaleas Michael Jones V. Gadepally S. Samsi J. Kepner 37 79 0 18 Sep 2021
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference Ali Hadi Zadeh Isak Edo Omar Mohamed Awad Andreas Moshovos MQ 22 183 0 08 May 2020
Taurus: A Data Plane Architecture for Per-Packet ML Tushar Swamy Alexander Rucker M. Shahbaz Ishan Gaur K. Olukotun 18 82 0 12 Feb 2020
Automatic Compiler Based FPGA Accelerator for CNN Training S. Venkataramanaiah Yufei Ma Shihui Yin Eriko Nurvitadhi A. Dasu Yu Cao Jae-sun Seo 21 38 0 15 Aug 2019
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 90 515 0 09 Apr 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 316 1,047 0 10 Feb 2017