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A systolic trinomial GF(2k) multiplier based on the Montgomery Multiplication Algorithm

机译:基于Montgomery乘法算法的收缩记GF(2K)倍增器

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The use of irreducible trinomial for GF(2k) field multiplication is widely accepted in parallel designs as a solution to improve the multiplication process. However, the degree of optimization has not been tested for the Montgomery Multiplication Algorithm for GF(2k) fields, a sequential algorithm not yet designed and implemented in hardware using trinomials. In this paper, a semisystolic-pipelined Montgomery Multiplier architecture defined over irreducible trinomial is proposed. The proposed architecture and Hardware implementation is compared with other known designs, in terms of gate-flip flop number, Chip Covered Area, latency, critical path and clock Frequency, and the degree of optimization using trinomials is measured, giving very optimistic results.
机译:使用Irreafuifible Trinomial for GF(2K)场乘法广泛地在并行设计中被广泛接受,作为改善乘法过程的解决方案。 然而,GF(2K)场的蒙哥马利乘法算法尚未测试优化程度,使用三组在硬件中设计和实现的顺序算法。 在本文中,提出了一种在不可缩短的三组织上定义的半系统 - 流水线蒙代架架构。 拟议的架构和硬件实现与其他已知设计进行了比较,就栅极 - 触发器数,芯片覆盖区域,延迟,临界路径和时钟频率,测量使用三组的优化程度,提供非常乐观的结果。

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