2017
DOI: 10.1016/j.vlsi.2016.12.012
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Fast Multiplier Generator for FPGAs with LUT based Partial Product Generation and Column/row Compression

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Cited by 19 publications
(4 citation statements)
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“…As an example, Woo et al [44] implements three different multiplication algorithms on FPGAs and these algorithms can multiply two 8-bit numbers with a latency of 5 cycles. Similarly, Kakacak et al [26] claim to achieve better timings than the state of the art in the literature, yet their implementations require 7ns to multiply two 64-bits numbers. A recent architecture like AMD Zen 2 using GMP requires around 1.75 clock cycles per 64-bits when multiplying numbers.…”
Section: Faster Hardwarementioning
confidence: 99%
“…As an example, Woo et al [44] implements three different multiplication algorithms on FPGAs and these algorithms can multiply two 8-bit numbers with a latency of 5 cycles. Similarly, Kakacak et al [26] claim to achieve better timings than the state of the art in the literature, yet their implementations require 7ns to multiply two 64-bits numbers. A recent architecture like AMD Zen 2 using GMP requires around 1.75 clock cycles per 64-bits when multiplying numbers.…”
Section: Faster Hardwarementioning
confidence: 99%
“…In [4], a viable technique is proposed for changing over a double number into a RNS dependent on isolating the first multi-bit parallel number into independent parts, for which a foreordained number of paired digits B are designated. At that point a n-cycle twofold number can be communicated as a mix of weighted (positional) numbers with the measurement B (bits) [5][6][7]. For this situation, the places of every such part are allocated a specific weight 2j, where j = 0, B, 2B, ..., MB.…”
Section: Introductionmentioning
confidence: 99%
“…The existing multipliers are high-speed Baugh Wooley [6], Baugh Wooley with unsigned [7], approximate multiplier with carry predictor [8], energy-efficient approximate multiplier [9], modified retiming serial multiplier [10], fast multiplier [11], Montgomery multiplier [12], array multiplier [13], etc. These multipliers require more power and area for performing the multiplication.…”
Section: Introductionmentioning
confidence: 99%