DocumentCode
3574492
Title
DSP architecture with folded tree for power constraint devices
Author
Ranjithkumar, K. ; Anandharajan, Trv
Author_Institution
Velammal Inst. of Technol., Chennai, India
fYear
2014
Firstpage
113
Lastpage
119
Abstract
Energy consumption in Digital Signal Processing (DSP) application is a vital parameter of consideration. Mostly DSP applications deplete power. Battery constraint is important in many mobiles, processors, and sensor-related devices. The major critical operations in DSP architecture are multiplication and addition. Multiplication process is performed using repetitive addition. Hence, adder is the basic component used in digital signal processor. DSP architecture is proposed with the energy-efficient goal. Traditional carry select adder contains ripple carry adder block is replaced by parallel prefix adder. By replacing that block and introducing folded tree, we can reduce power used by DSP processors. This architecture can be used in all power constrained DSP applications. In the existing system, folded tree is used in architecture to reduce the number of processing elements, and they used carry look-ahead adder to perform the internal processing element operations. In the proposed system, carry look-ahead adder is replaced by LFA and PA to harness the energy depleted in an application (e.g., DSP application). Power consumption is reduced by 12-15% as compared with the existing algorithms using Cyclone III (EP3C16F484C6).
Keywords
adders; digital signal processing chips; field programmable gate arrays; power consumption; Cyclone III; DSP architecture; FTA; LFA; PA; carry look-ahead adder; digital signal processing; folded tree architecture; internal processing element operations; power constraint devices; power consumption reduction; Adders; Digital signal processing; Logic gates; Mobile communication; Program processors; Wireless sensor networks; Wires; Folded Tree Architecture (FTA); Ladner-Fischer Adder (LFA); Parallel Prefix Operation (PPO); Processing Element (PE);
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computing (ICoAC), 2014 Sixth International Conference on
Print_ISBN
978-1-4799-8466-4
Type
conf
DOI
10.1109/ICoAC.2014.7229757
Filename
7229757
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