default search action
Advances in Computers, Volume 122
Volume 122, 2021
- Shiho Kim, Ganesh Chandra Deka:
Preface. xi-xii - Neha Gupta
:
Chapter One - Introduction to hardware accelerator systems for artificial intelligence and machine learning. 1-21 - William J. Song
Chapter Two - Hardware accelerator systems for embedded systems. 23-49 - Hyunbin Park, Shiho Kim:
Chapter Three - Hardware accelerator systems for artificial intelligence and machine learning. 51-95 - Parth Bir
Chapter Four - Generic quantum hardware accelerators for conventional systems. 97-133 - Joo-Young Kim:
Chapter Five - FPGA based neural network accelerators. 135-165 - Won Jeon, Gun Ko, Jiwon Lee
Chapter Six - Deep learning with GPUs. 167-215 - Kyuho J. Lee
Chapter Seven - Architecture of neural processing unit for deep neural networks. 217-245 - Francesco Daghero
Chapter Eight - Energy-efficient deep learning inference on edge devices. 247-301 - Yuri G. Gordienko
Chapter Nine - "Last mile" optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures. 303-341 - Hyunbin Park, Shiho Kim:
Chapter Ten - Hardware accelerator for training with integer backpropagation and probabilistic weight update. 343-365 - Amitabh Biswal, Malaya Dutta Borah, Zakir Hussain
Chapter Eleven - Music recommender system using restricted Boltzmann machine with implicit feedback. 367-402
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-10-31 20:05 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: