Title :
Efficient mapping on FPGA of convolution computation based on combined CSA-CPA accumulator
Author :
Moreno, C.D. ; Quiles, F.J. ; Ortiz, M.A. ; Brox, M. ; Hormigo, J. ; Villalba, J. ; Zapata, E.L.
Author_Institution :
Dept. of Comput. Archit., Univ. of Cordoba, Cordoba, Spain
Abstract :
In this paper we present some architectures to deal with fast convolution computation based on carry save adders which are intended to be specifically implemented on FPGAs. Carry-save adders are not frequent in FPGA implementations since FPGA has a fast carry propagation path. In this paper we prove that it is possible to use carry-save arithmetic in a efficient way on FPGA for convolution operation. We make use of the specific structure of the FPGA to design an optimized accumulator which is able to deal with carry-save additions as well as carry-propagate additions using the same hardware. This lead to an efficient combined CSA-CPA architecture with fast computation and optimizing the hardware cost. Experimental results for different word lengths are presented to validate our proposal.
Keywords :
adders; carry logic; field programmable gate arrays; FPGA; carry save adders; carry-propagate additions; carry-save additions; carry-save arithmetic; combined CSA-CPA accumulator; fast convolution computation; Arithmetic; Biological neural networks; Computer architecture; Convolution; Costs; Design optimization; Digital signal processing; Field programmable gate arrays; Hardware; Manufacturing;
Conference_Titel :
Electronics, Circuits, and Systems, 2009. ICECS 2009. 16th IEEE International Conference on
Conference_Location :
Yasmine Hammamet
Print_ISBN :
978-1-4244-5090-9
Electronic_ISBN :
978-1-4244-5091-6
DOI :
10.1109/ICECS.2009.5410903