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. 1805.02566
  4. Cited By
Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A
  Data-Centric Approach Using MAESTRO

Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach Using MAESTRO

4 May 2018
Hyoukjun Kwon
Prasanth Chatarasi
Michael Pellauer
A. Parashar
Vivek Sarkar
T. Krishna
ArXivPDFHTML

Papers citing "Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach Using MAESTRO"

2 / 2 papers shown
Title
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs
  and ASICs
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs
Pengfei Xu
Xiaofan Zhang
Cong Hao
Yang Katie Zhao
Yongan Zhang
Yue Wang
Chaojian Li
Zetong Guan
Deming Chen
Yingyan Lin
25
89
0
06 Jan 2020
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
1