A novel efficient parallel algorithm for RNS to binary conversion for arbitrary moduli set

We present a parallel algorithm for RNS to binary conversion, which is computationally efficient and requires moderate amount of storage. The algorithm is based on a graphical interpretation of the residue numbers, and imposes no restriction on the size or choice of moduli set. The parallel time complexity of the algorithm is /spl Theta/ upper bound [(log k)], where k is the size of the moduli set.<<ETX>>