DocumentCode
704653
Title
Run-time reconfigurable multi-precision floating point multiplier design for high speed, low-power applications
Author
Arish, S. ; Sharma, R.K.
Author_Institution
Sch. of VLSI design & Embedded Syst., Nat. Inst. of Technol. Kurukshetra, Kurukshetra, India
fYear
2015
fDate
19-20 Feb. 2015
Firstpage
902
Lastpage
907
Abstract
Floating point multiplication is one of the crucial operations in many application domains such as image processing, signal processing etc. But every application requires different working features. Some need high precision, some need low power consumption, low latency etc. But IEEE-754 format is not really flexible for these specifications and also design is complex. Optimal run-time reconfigurable hardware implementations may need the use of custom floating-point formats that do not necessarily follow IEEE specified sizes. In this paper, we present a run-time-reconfigurable floating point multiplier implemented on FPGA with custom floating point format for different applications. This floating point multiplier can have 6 modes of operations depending on the accuracy or application requirement. With the use of optimal design with custom IPs (Intellectual Properties), a better implementation is done by truncating the inputs before multiplication. And a combination of Karatsuba algorithm and Urdhva-Tiryagbhyam algorithm (Vedic Mathematics) is used to implement unsigned binary multiplier. This further increases the efficiency of the multiplier.
Keywords
field programmable gate arrays; low-power electronics; multiplying circuits; FPGA; IEEE-754 format; IP; Karatsuba algorithm; Urdhva-Tiryagbhyam algorithm; Vedic mathematics; custom floating-point format; high speed low-power application; image processing; intellectual property; optimal run-time reconfigurable hardware implementation; run-time reconfigurable multiprecision floating point multiplier design; signal processing; unsigned binary multiplier; Accuracy; Adders; Algorithm design and analysis; Delays; Hardware; Signal processing; Signal processing algorithms; Floating point multiplier; Karatsuba; Run-time-reconfigurable; Urdhva-Tiryagbhyam; Variable-precision; Vedic mathematics; fpga;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Integrated Networks (SPIN), 2015 2nd International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-5990-7
Type
conf
DOI
10.1109/SPIN.2015.7095315
Filename
7095315
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