
The widespread adoption of Fully Homomorphic Encryption (FHE) has been hindered by a critical computational bottleneck: the sequential Mixed-Radix Conversion (MRC). This paper resolves that inefficiency by introducing a novel parallel MRC algorithm. Our methodology involves a fundamental re-derivation of the MRC equations to algebraically eliminate all sequential dependencies, which transforms the problem into an independent summation structure. We formally prove the algorithm's mathematical soundness via induction and demonstrate that its time complexity is $O(\log k)$, marking a fundamental improvement over the traditional $O(k^{2})$ complexity. By providing a clear and accelerated path to convert encrypted data, this work removes a critical performance bottleneck, enabling the real-time commercial deployment of FHE solutions.
Fully Homomorphic Encryption, Kogge-Stone, Cryptography, SystemVerilog, Mixed Radix Conversion, Parallel Prefix Sum, Pipelined-Architecture, Residue Number System, Chinese Remainder Theorem
Fully Homomorphic Encryption, Kogge-Stone, Cryptography, SystemVerilog, Mixed Radix Conversion, Parallel Prefix Sum, Pipelined-Architecture, Residue Number System, Chinese Remainder Theorem
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