2016
DOI: 10.1007/s13369-016-2162-y
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Reconfigurable Hardware Accelerator for Profile Hidden Markov Models

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Cited by 8 publications
(2 citation statements)
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“…A nonlinear scheduling function was applied to the DG and a nonlinear projection function was used to implement a unified processor core to perform both modular multiplication and squaring operations. We followed a systematic approach previously reported by the authors of this paper in [30][31][32][33][34][35][36] to extract the processor core of one of the efficient multiplier and squaring algorithms previously reported in the literature, the bipartite multiplication and squaring algorithm suggested by Kim in [37]. We can briefly summarize the approach as follows:…”
Section: Contributionmentioning
confidence: 99%
“…A nonlinear scheduling function was applied to the DG and a nonlinear projection function was used to implement a unified processor core to perform both modular multiplication and squaring operations. We followed a systematic approach previously reported by the authors of this paper in [30][31][32][33][34][35][36] to extract the processor core of one of the efficient multiplier and squaring algorithms previously reported in the literature, the bipartite multiplication and squaring algorithm suggested by Kim in [37]. We can briefly summarize the approach as follows:…”
Section: Contributionmentioning
confidence: 99%
“…In this paper, we propose a word-based two-dimensional SISO systolic processor for combined field multiplication and squaring over GF (2 m ). The main difference between the proposed SISO architecture and the other types of word-serial multiplier architecture is that the proposed multiplier-squarer structure is extracted by using a systematic approach [33][34][35][36][37][38][39]. In contrast, the other word-serial multiplier structures are extracted conventionally without the use of specific methodology.…”
Section: Paper Contributionmentioning
confidence: 99%