Design and FPGA Implementation of Self-Tuned Wave-Pipelined Filters with Distributed Arithmetic Algorithm

Wave-pipelining enables a digital circuit to be operated at a higher frequency. In the literature, only trial-and-error and manual procedures are adopted for the choice of the optimum value of clock frequency and clock skew between the input and output registers of wave-pipelined circuits. One of th...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Circuits, systems, and signal processing systems, and signal processing, 2008-06, Vol.27 (3), p.261-276
Hauptverfasser: Seetharaman, G., Venkataramani, B., Lakshminarayanan, G.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Wave-pipelining enables a digital circuit to be operated at a higher frequency. In the literature, only trial-and-error and manual procedures are adopted for the choice of the optimum value of clock frequency and clock skew between the input and output registers of wave-pipelined circuits. One of the major contributions of this paper is the proposal for automating the above procedure. A second contribution is the study of how logic depths determine the superiority of wave-pipelining over pipelining with regard to power dissipation. For the study and implementation of wave-pipelined circuits, filters using the distributed arithmetic algorithm are considered. In this paper, two automation schemes are proposed for the implementation of the wave-pipelined filters on both Xilinx and Altera field programmable gate arrays (FPGAs). In the first scheme, a self-tuning finite state machine (FSM) is used to choose the clock skew and clock period for I/O registers between the wave-pipelined blocks. In the second approach, an on-chip soft-core processor is used to choose the clock skew and clock period. To test the efficacy of the schemes proposed, filters with different taps are implemented using three schemes: synchronous pipelining, sub-optimal wave-pipelining and no pipelining (i.e. using neither synchronous pipelining nor wave-pipelining). From the implementation results, it is observed that wave-pipelined distributed arithmetic (DA) filters are faster by a factor of 1.31–1.61 compared to non-pipelined DA filters. The synchronous pipelined DA filters are in turn faster by a factor of 1.73–3.27 compared to the wave-pipelined DA filters. The increased speeds are achieved in the pipelined filters at the cost of an increase in the number of slices by 15–33% and in the number of registers by 350–530%. To compare the power dissipation, both pipelined and wave-pipelined DA filters are tested by operating them at the same frequency. For medium logic depths, the wave-pipelined DA filters dissipate less power than pipelined filters.
ISSN:0278-081X
1531-5878
DOI:10.1007/s00034-008-9033-z