2009 19th IEEE Symposium on Computer Arithmetic 2009
DOI: 10.1109/arith.2009.20
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Selected RNS Bases for Modular Multiplication

Abstract: The selection of the elements of the bases in an RNS modular multiplication method is crucial and has a great impact in the overall performance.This work proposes specific sets of optimal RNS moduli with elements of Hamming weight three whose inverses used in the MRS reconstruction have very small Hamming weight. This property is exploited in RNS bases conversions, to completely remove and replace the products by few additions/subtractions and shifts, reducing the time complexity of modular multiplication.Thes… Show more

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Cited by 46 publications
(50 citation statements)
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“…However, the Hamming weight of |b ¡1 i | cj increases quickly with the growth of n. Using the suggested parameters by [20], the maximal Hamming weight is 5 for n 4, while it is 17 for n 6. Note that for FCFS method, the maximal Hamming weight of…”
Section: Crt Versus Mrsmentioning
confidence: 99%
See 1 more Smart Citation
“…However, the Hamming weight of |b ¡1 i | cj increases quickly with the growth of n. Using the suggested parameters by [20], the maximal Hamming weight is 5 for n 4, while it is 17 for n 6. Note that for FCFS method, the maximal Hamming weight of…”
Section: Crt Versus Mrsmentioning
confidence: 99%
“…However, the actual efficiency of this Bajard, Kaihara and Plantrad showed how to select moduli such that |b ¡1 i | bj has low Hamming weight in Non-Adjacent Form (NAF) [20]. They suggested to choose moduli that have the form 2 k , 2…”
Section: Crt Versus Mrsmentioning
confidence: 99%
“…Montgomery domain normalization can be removed through an RNSMM of the Montgomery formatted RNS number A with 1. To increase computation efficiency, most studies on optimal base moduli [5] agree that moduli of the form 2 k ± c i , …”
Section: Rns For Ec Point Operationsmentioning
confidence: 99%
“…There are mainly two types of BE algorithms: those based on the CRT relation (Eq. 2) [28,25,18], and those using an intermediate representation called mixed radix system (MRS) [30,7,3]. In hardware, the most efficient BE implementations in state-of-art use the CRT based solution [12,14].…”
Section: Base Extensionmentioning
confidence: 99%