Use of SIMD-based data parallelism to speed up sieving in integer-factoring algorithms

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Use of SIMD-based data parallelism to speed up sieving in integer-factoring algorithms

Many cryptographic protocols derive their security from the apparent computational intractability of the integer factorization problem. Currently, the best known integer-factoring algorithms run in subexponential time. Efficient parallel implementations of these algorithms constitute an important area of practical research. Most reported implementations use multi-core and/or distributed paralle...

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The best known integer-factoring algorithms consist of two stages: the sieving stage and the linear-algebra stage. Efficient parallel implementations of both these stages have been reported in the literature. All these implementations are based on multi-core or distributed parallelization. In this paper, we experimentally demonstrate that SIMD instructions available in many modern processors ca...

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ژورنال

عنوان ژورنال: Applied Mathematics and Computation

سال: 2017

ISSN: 0096-3003

DOI: 10.1016/j.amc.2016.08.019