DocumentCode :
2431699
Title :
Application-driven dimensioning of a Coarse-Grain Reconfigurable Array
Author :
Hussain, Waqar ; Ahonen, Tapani ; Garzia, Fabio ; Nurmi, Jari
Author_Institution :
Dept. of Comput. Syst., Tampere Univ. of Technol., Tampere, Finland
fYear :
2011
fDate :
6-9 June 2011
Firstpage :
234
Lastpage :
239
Abstract :
In this paper, we have scaled-up a Coarse-Grain Reconfigurable Array (CGRA) in specific widths to evaluate matrix-vector multiplication and radix-4 64-point Fast Fourier Transform (FFT) algorithms. The evaluation of different CGRAs is based on complexity in application mapping, performance and area utilization. Reducing the product development time and achieving higher reliability has always been the need of industry and system integrators. The low-level designers and application developers need higher performance with minimum resources. Based on our evaluation, we propose a choice of array sizes for fulfilling the needs of both system integrators and low-level designers.
Keywords :
digital arithmetic; fast Fourier transforms; logic design; matrix multiplication; multiplying circuits; reconfigurable architectures; application mapping; application-driven dimensioning; area utilization; array size; coarse-grain reconfigurable array; low-level design; matrix-vector multiplication; radix-4 64-point fast Fourier transform algorithm; Arrays; Context; Kernel; Multiplexing; Reduced instruction set computing; Registers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Adaptive Hardware and Systems (AHS), 2011 NASA/ESA Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-0598-4
Electronic_ISBN :
978-1-4577-0597-7
Type :
conf
DOI :
10.1109/AHS.2011.5963942
Filename :
5963942
Link To Document :
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