DocumentCode
624368
Title
FPGA and ASIC square root designs for high performance and power efficiency
Author
Suresh, Smitha ; Beldianu, Spiridon F. ; Ziavras, Sotirios G.
Author_Institution
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear
2013
fDate
5-7 June 2013
Firstpage
269
Lastpage
272
Abstract
Floating-point square root is a fundamental operation in signal processing and various HPC applications. Since this is an expensive operation in resource and energy consumption, its efficient implementation should be of priority in future multicores that will face dark silicon issues. This paper presents a low-cost, low-power consumption design to calculate the square root using the IEEE754 single-precision floating-point format. Two versions of the design are investigated with and without clock gating (CG), respectively. Evaluation involves FPGA and ASIC technologies at 40 and 65 nm. Substantial performance growth and reduced power consumption are gained as compared to a popular iterative solution. The ASIC design demonstrates much lower power consumption, which at 40 nm is lower than that at 65 nm by about a threefold. At 40 nm, CG for the ASIC realization is justified primarily for low activity rates.
Keywords
application specific integrated circuits; field programmable gate arrays; floating point arithmetic; iterative methods; logic design; multiprocessing systems; ASIC design demonstrates; ASIC realization; ASIC square root designs; ASIC technology; FPGA technology; HPC applications; IEEE754 single-precision floating-point format; activity rates; clock gating; dark silicon issues; energy consumption; floating-point square root; iterative solution; low-cost design; low-power consumption design; multicores; performance growth; power efficiency; signal processing; Application specific integrated circuits; Clocks; Field programmable gate arrays; Multicore processing; Power demand; Switches; Table lookup; ASIC; FPGA; energy consumption; floating-point square root; multicore processors;
fLanguage
English
Publisher
ieee
Conference_Titel
Application-Specific Systems, Architectures and Processors (ASAP), 2013 IEEE 24th International Conference on
Conference_Location
Washington, DC
ISSN
2160-0511
Print_ISBN
978-1-4799-0494-5
Type
conf
DOI
10.1109/ASAP.2013.6567588
Filename
6567588
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