Paper Info
Title
Studying the Impact of CPU and Memory Controller Frequencies on Power Consumption of the Jetson TX1
Abstract
Nowadays, heterogeneous unified memory architecture platforms are becoming increasingly common. These platforms incorporate several co-processors on a single chip with a shared physical memory. The use cases for such platforms can vary dramatically. On the one hand, they can be used in the context of Edge computing, which cannot tolerate high latency and has strict energy/power constraints. On the other hand, motivated by their growing computing capabilities, and their energy-efficiency, many have considered replacing traditional bulky servers with these platforms to deliver the same computing power but with lower energy budget. This study is an exploratory step to understand the trade-off between power consumption, processing time, and throughput on a low-power heterogeneous platform. We focus on data stream processing workloads by characterizing several common computing kernels found in computer vision algorithms. Our preliminary experiments on NVIDIA Jetson TX1 show that it is possible reduce power consumption by up to 12%.
Year
DOI
Venue
2019
10.1109/FMEC.2019.8795334
2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)
Keywords
Field
DocType
energy-efficiency,lower energy budget,power consumption,low-power heterogeneous platform,co-processors,data stream processing workloads,bulky servers,edge computing,CPU,NVIDIA Jetson TX1,computing kernels,shared physical memory,single chip,heterogeneous unified memory architecture platforms,memory controller frequencies,computer vision algorithms
Edge computing,Use case,Latency (engineering),Computer science,Server,Chip,Throughput,Memory controller,Embedded system,Power consumption
Conference
ISBN
Citations 
PageRank 
978-1-7281-1797-3
0
0.34
References 
Authors
10
2
Name
Order
Citations
PageRank
Hazem A. Abdelhafez111.37
Matei Ripeanu2354.43