SP-fold – Speculative Parallelization for Parallel Algorithm of RNA Secondary Structure Prediction on Multicore
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10.5120/17629-8411 |
Narendra Chaudhari and Anjali Mahajan. Article: SP-fold - Speculative Parallelization for Parallel Algorithm of RNA Secondary Structure Prediction on Multicore. International Journal of Computer Applications 100(18):38-42, August 2014. Full text available. BibTeX
@article{key:article,
author = {Narendra Chaudhari and Anjali Mahajan},
title = {Article: SP-fold - Speculative Parallelization for Parallel Algorithm of RNA Secondary Structure Prediction on Multicore},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {100},
number = {18},
pages = {38-42},
month = {August},
note = {Full text available}
}
Abstract
Bioinformatics is faced with accelerating increase of data set sizes originating from powerful high-throughput measuring devices. Extensive computational power is the basic requirement for solving problems in bioinformatics. One of the key solutions to time-efficient data processing is the proper implementation of computational intensive tasks using parallel technology. A large number of cores is combined into a single chip to improve the overall performance of the multi-core processors. This depicts the current trends in processor architecture. This paper proposes a new software-only speculative parallelization scheme for implementing RNA Secondary Structure Prediction algorithm in parallel. The scheme is developed after a systematic evaluation of the design options available. It is also shown to be efficient, robust and to outperform previously proposed schemes used for parallel implementation of RNA Secondary Structure Prediction.
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