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High-Performance Hardware of the Sliding-Window Method for Parallel Computation of Modular Exponentiations

机译:模块化指数并行计算的滑动窗口方法的高性能硬件

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摘要

Modular exponentiation is a basic operation in various applications, such as cryptography. Generally, the performance of this operation has a tremendous impact on the efficiency of the whole application. Therefore, many researchers have devoted special interest to providing smart methods and efficient implementations for modular exponentiation. One of these methods is the sliding-window method, which pre-processes the exponent into zero and non-zero partitions. Zero partitions allow for a reduction of the number of modular multiplications required in the exponentiation process. In this paper, we devise a novel hardware for computing modular exponentiation using the sliding-window method. The partitioning strategy used allows variable-length non-zero partitions, which increases the average number of zero partitions and so decreases that of non-zero partitions. It performs the partitioning process in parallel with the pre-computation step of the exponent so no overhead is introduced. The implementation is efficient when compared against related existing hardware implementations.
机译:模幂运算是各种应用程序(例如密码学)中的基本操作。通常,此操作的性能会对整个应用程序的效率产生巨大影响。因此,许多研究人员特别关注提供模块化幂运算的智能方法和有效实现。这些方法之一是滑动窗口方法,该方法将指数预处理为零和非零分区。零分区可减少幂运算所需的模乘数。在本文中,我们设计了一种新颖的硬件,用于使用滑动窗口方法计算模幂。所使用的分区策略允许长度可变的非零分区,这增加了零分区的平均数量,因此减少了非零分区的平均数量。它与指数的预计算步骤并行执行分区过程,因此不会引入任何开销。与相关的现有硬件实施方案相比,该实施方案是有效的。

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