VLSI implementation of double-precision floating-point multiplier using karatsuba technique

Manish Kumar Jaiswal, Ray C.C. Cheung

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

17 Citations (Scopus)

Abstract

The double-precision floating-point arithmetic, specifically multiplication, is a widely used arithmetic operation for many scientific and signal processing applications. In general, the double-precision floating-point multiplier requires a large 53×53 mantissa multiplication in order to get the final result. This mantissa multiplication exists as a limit on both area and performance bounds of this operation. This paper presents a novel way to reduce this large multiplication. The proposed approach in this paper allows to use less amount of multiplication hardware compared to the traditional method. The multiplication is done by using Karatsuba technique. This design is specifically targeting Field Programmable Gate Array (FPGA) platforms, and it has also been evaluated on ASIC flow. The proposed module gives excellent performance with efficient use of resources. The design is fully compatible with the IEEE standard precision. The proposed module has shown a better performance in comparison with the best reported multipliers in the literature. © 2012 Springer Science+Business Media, LLC.
Original languageEnglish
Pages (from-to)15-27
JournalCircuits, Systems, and Signal Processing
Volume32
Issue number1
DOIs
Publication statusPublished - Feb 2013

Research Keywords

  • Arithmetic
  • Floating-point multiplication
  • High performance computing
  • Karatsuba
  • Reconfigurable computing

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