Title
On the performance and energy efficiency of FPGAs and GPUs for polyphase channelization
Abstract
Wideband channelization is an important and computationally demanding task in the front-end subsystem of several software-defined radios (SDRs). The hardware that supports this task should provide high performance, consume low power, and allow flexible implementations. Several classes of devices have been explored in the past, with the FPGA proving to be the most popular as it reasonably satisfies all three requirements. However, the growing presence of low-power mobile GPUs holds much promise with improved flexibility for instant adaptation to different standards. Thus, in this paper, we present optimized polyphase channelizations for the FPGA and GPU, respectively, that must consider power and accuracy requirements in the context of a military application. The performance in mega-samples per second (MSPS) and energy efficiency in MSPS/watt are compared between the two classes of hardware platforms: FPGA and GPU. The results show that by exploiting the flexible datapath width of FPGAs, FPGA implementations generally deliver an order-of-magnitude better performance and energy efficiency over fixed-width GPU architectures.
Year
DOI
Venue
2014
10.1109/ReConFig.2014.7032542
ReConFigurable Computing and FPGAs
Keywords
Field
DocType
energy conservation,field programmable gate arrays,graphics processing units,low-power electronics,software radio,FPGA,MSPS/watt,SDR,energy efficiency,fixed-width GPU architecture,flexible datapath width,front-end subsystem,hardware platform,low-power mobile GPU,mega-samples per second,optimized polyphase channelization,software-defined radio,wideband channelization
Wideband,Polyphase system,Datapath,Computer science,Efficient energy use,Field-programmable gate array,Implementation,Memory management,Embedded system,Reconfigurable computing
Conference
ISSN
Citations 
PageRank 
2325-6532
0
0.34
References 
Authors
14
5
Name
Order
Citations
PageRank
Vignesh Adhinarayanan1244.68
Thaddeus Koehn232.44
Krzysztof Kepa38010.94
Wu-chun Feng42812232.50
Peter Athanas533642.72