Paper Info
Title
Exploring Data Analytics Without Decompression on Embedded GPU Systems
Abstract
With the development of computer architecture, even for embedded systems, GPU devices can be integrated, providing outstanding performance and energy efficiency to meet the requirements of different industries, applications, and deployment environments. Data analytics is an important application scenario for embedded systems. Unfortunately, due to the limitation of the capacity of the embedded dev...
Year
DOI
Venue
2022
10.1109/TPDS.2021.3119402
IEEE Transactions on Parallel and Distributed Systems
Keywords
DocType
Volume
Graphics processing units,Embedded systems,Data analysis,Parallel processing,Instruction sets,Optimization,Random access memory
Journal
33
Issue
ISSN
Citations 
7
1045-9219
2
PageRank 
References 
Authors
0.37
0
7
Name
Order
Citations
PageRank
Zaifeng Pan120.37
Feng Zhang27914.36
Yanliang Zhou320.37
Jidong Zhai434036.27
Xipeng Shen52025118.55
Onur Mutlu69446357.40
Xiaoyong Du7882123.29