DocumentCode
500895
Title
Xquasher: A tool for efficient computation of multiple linear expressions
Author
Arfaee, Arash ; Irturk, Ali ; Laptev, Nikolay ; Fallah, Farzan ; Kastner, Ryan
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, CA, USA
fYear
2009
fDate
26-31 July 2009
Firstpage
254
Lastpage
257
Abstract
Digital signal processing applications often require the computation of linear systems. These computations can be considerably expensive and require optimizations for lower power consumption, higher throughput, and faster response time. Unfortunately, system designers do not have the necessary tools to take advantage of the wide flexibility in ways to evaluate these expressions. Therefore, we address the problem of efficiently computing a set of linear systems through a tool, Xquasher, that is developed by us to enable elimination of large common subexpression from expressions with an arbitrary number of terms. Xquasher provides a methodology for efficient computation of both single and multiple linear expressions. We also introduce the concept of power set encoding which helps us to provide an effective optimization method and achieves significant improvement over previously published work. Our tool provides optimized designs with 15% less area with the cost of 3% increase in delay by reducing number of additions on average by 45%.
Keywords
computational complexity; linear systems; optimisation; signal processing; software tools; Xquasher software tool; computation optimization method; digital signal processing application; linear systems computation; multiple linear expression; power set encoding concept; Application software; Computer science; Delay; Design optimization; Digital signal processing; Encoding; Energy consumption; Linear systems; Power engineering and energy; Power engineering computing; Area optimization; DSP transforms; common sub-expression elimination; linear expression; multiple constant multiplications;
fLanguage
English
Publisher
ieee
Conference_Titel
Design Automation Conference, 2009. DAC '09. 46th ACM/IEEE
Conference_Location
San Francisco, CA
ISSN
0738-100X
Print_ISBN
978-1-6055-8497-3
Type
conf
Filename
5227153
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