Paper Info
Title
Big data on low power cores: Are low power embedded processors a good fit for the big data workloads?
Abstract
The traditional low-power embedded processors such as ARM and Atom are entering the high-performance server market. At the same time, big data analytics are emerging and dramatically changing the landscape of data center workloads. Thus, the question of whether low-power embedded architectures are suited to process big data applications efficiently, is becoming important. In this work, through methodical investigation of power, performance measurements and comprehensive system level analysis, we demonstrate that low power embedded architectures can provide significant energy-efficiency for processing big data analytics applications.
Year
DOI
Venue
2015
10.1109/ICCD.2015.7357128
International Conference on Computer Design
Keywords
Field
DocType
Performance, Power, Energy-efficiency, Big Data, Low-Power server
Efficient energy use,Computer science,Server,Parallel computing,Real-time computing,Power demand,Big data,Data center,Benchmark (computing),Embedded system,System level
Conference
Citations 
PageRank 
References 
11
0.54
8
Authors
2
Name
Order
Citations
PageRank
Maria Malik11038.81
Houman Homayoun257969.64