DocumentCode :
624378
Title :
A Reconfigurable Application-specific Instruction-set Processor for Fast Fourier Transform processing
Author :
Hussain, Waqar ; Xiaolin Chen ; Ascheid, Gerd ; Nurmi, Jari
Author_Institution :
Dept. of Electron. & Commun. Eng., Tampere Univ. of Technol., Tampere, Finland
fYear :
2013
fDate :
5-7 June 2013
Firstpage :
339
Lastpage :
345
Abstract :
In this paper, we have presented a Reconfigurable Application-specific Instruction-set Processor (rASIP) that processes mixed-radix(2, 4) 64 and 128-point Fast Fourier Transform (FFT) algorithms while satisfying the partial execution-time requirements of IEEE-802.11n standard. The rASIP was designed by integrating a template-based Coarse-Grain Reconfigurable Array (CGRA) in the datapath of a simple Reduced Instruction-Set Computing (RISC) Processor. The instruction set of the RISC processor was extended to add special instructions to enable cycle-accurate processing by the CGRA. The rASIP is synthesized for Field Programmable Gate Arrays for the measurement of resource utilization and execution time. The postfit gate-level netlist of rASIP was simulated to estimate the power and energy consumption. Based on our measurements and estimates, we have studied the advantages of using rASIP in comparison with other systems.
Keywords :
fast Fourier transforms; field programmable gate arrays; reduced instruction set computing; wireless LAN; CGRA; FFT; IEEE-802.11n standard; RISC processor; coarse-grain reconfigurable array; execution time; fast Fourier transform processing; field programmable gate arrays; mixed-radix; rASIP; reconfigurable application-specific instruction-set processor; reduced instruction-set computing; resource utilization; Arrays; Avatars; Context; Process control; Reduced instruction set computing; Registers; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application-Specific Systems, Architectures and Processors (ASAP), 2013 IEEE 24th International Conference on
Conference_Location :
Washington, DC
ISSN :
2160-0511
Print_ISBN :
978-1-4799-0494-5
Type :
conf
DOI :
10.1109/ASAP.2013.6567599
Filename :
6567599
Link To Document :
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