ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1901.06955
  4. Cited By
Deep Neural Network Approximation for Custom Hardware: Where We've Been,
  Where We're Going

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

21 January 2019
Erwei Wang
James J. Davis
Ruizhe Zhao
Ho-Cheung Ng
Xinyu Niu
Wayne Luk
P. Cheung
G. Constantinides
ArXivPDFHTML

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

5 / 5 papers shown
Title
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy
  Efficient Inference
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
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
Automatic Compiler Based FPGA Accelerator for CNN Training
S. Venkataramanaiah
Yufei Ma
Shihui Yin
Eriko Nurvitadhi
A. Dasu
Yu Cao
Jae-sun Seo
16
38
0
15 Aug 2019
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
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
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
1