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. 1612.03940
  4. Cited By
Understanding the Impact of Precision Quantization on the Accuracy and
  Energy of Neural Networks

Understanding the Impact of Precision Quantization on the Accuracy and Energy of Neural Networks

12 December 2016
S. Hashemi
Nicholas Anthony
Hokchhay Tann
R. I. Bahar
Sherief Reda
    MQ
    HAI
ArXivPDFHTML

Papers citing "Understanding the Impact of Precision Quantization on the Accuracy and Energy of Neural Networks"

2 / 2 papers shown
Title
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
Arya Tschand
Arun Tejusve Raghunath Rajan
S. Idgunji
Anirban Ghosh
J. Holleman
...
Rowan Taubitz
Sean Zhan
Scott Wasson
David Kanter
Vijay Janapa Reddi
70
3
0
15 Oct 2024
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural
  Networks
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks
Hokchhay Tann
S. Hashemi
Iris Bahar
Sherief Reda
MQ
40
74
0
11 May 2017
1