A Versatile and Flexible Multiplier Generator for Large Integer Polynomials

Journal of Hardware and Systems Security(2023)

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摘要
This work presents a versatile and flexible generator of various large integer polynomial multipliers to be used in hardware cryptocores. Flexibility is offered by allowing circuit designers to choose an appropriate multiplication method from a list that includes Schoolbook, Booth, Karatsuba, and Toom-Cook. Moreover, the generator supports traditional and digitized polynomial multiplication solutions, where inputs are broken in smaller parts for efficiency. A parameterized digit serial multiplier wrapper provides the digitized solution for multiplying polynomial coefficients. To explore power-performance-area (PPA) trade-offs, pipelining for the non-digitized multiplication methods is also introduced. Our generator automatically creates the multiplier’s logic in Verilog HDL that is compliant with field-programmable gate array (FPGA) and application specific integrated circuits (ASIC) synthesis. Moreover, it also generates configurable and parameterizable scripts for commercial ASIC synthesis tools. For our experimental results, we have evaluated PPA for multipliers that are sized according to NIST-defined prime and binary fields. Results are presented for two ASIC technologies (65 nm and 15 nm technology) and for the Artix-7 FPGA family. Our generator is also versatile since it creates several architectures simultaneously, thus allowing a designer to easily explore the complex optimization search space of polynomial multiplication in cryptography.
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关键词
Schoolbook,Booth,Karatsuba,Toom-cook,Digitized polynomial multiplication,Large integer polynomial multipliers
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