3D Tiled Code Generation for Nussinov’s Algorithm
Current state-of-the-art parallel codes used to calculate the maximum number of pairs for a given RNA sequence by means of Nussinov’s algorithm do not allow for achieving speedup close up to the number of the processors used for execution of those codes on multi-core computers. This is due to the fa...
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| Published in | Applied sciences Vol. 12; no. 12; p. 5898 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Basel
MDPI AG
01.06.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2076-3417 2076-3417 |
| DOI | 10.3390/app12125898 |
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| Abstract | Current state-of-the-art parallel codes used to calculate the maximum number of pairs for a given RNA sequence by means of Nussinov’s algorithm do not allow for achieving speedup close up to the number of the processors used for execution of those codes on multi-core computers. This is due to the fact that known codes do not make full use of and derive benefit from cache memory of such computers. There is a need to develop new approaches allowing for increasing cache exploitation in multi-core computers. One of such possibilities is increasing the dimension of tiles in generated target tiled code and assuring a similar size of generated tiles. The article presents an approach allowing us to produce 3D parallel code with tiling calculating Nussinov’s RNA folding, i.e., code with the maximal tile dimension possible for the loop nest, executing Nussinov’s algorithm. The approach guarantees that generated tiles are of a similar size. The code generated with the presented approach is characterized by increased code locality and outperforms all closely related ones examined by us. This allows us to considerably reduce execution time required for computing the maximum number of pairs of any nested structure for larger RNA sequences by means of Nussinov’s algorithm. |
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| AbstractList | Current state-of-the-art parallel codes used to calculate the maximum number of pairs for a given RNA sequence by means of Nussinov’s algorithm do not allow for achieving speedup close up to the number of the processors used for execution of those codes on multi-core computers. This is due to the fact that known codes do not make full use of and derive benefit from cache memory of such computers. There is a need to develop new approaches allowing for increasing cache exploitation in multi-core computers. One of such possibilities is increasing the dimension of tiles in generated target tiled code and assuring a similar size of generated tiles. The article presents an approach allowing us to produce 3D parallel code with tiling calculating Nussinov’s RNA folding, i.e., code with the maximal tile dimension possible for the loop nest, executing Nussinov’s algorithm. The approach guarantees that generated tiles are of a similar size. The code generated with the presented approach is characterized by increased code locality and outperforms all closely related ones examined by us. This allows us to considerably reduce execution time required for computing the maximum number of pairs of any nested structure for larger RNA sequences by means of Nussinov’s algorithm. |
| Author | Pałkowski, Marek Bielecki, Włodzimierz Błaszyński, Piotr |
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| Cites_doi | 10.1016/B978-0-12-384988-5.00014-0 10.1093/nar/9.1.133 10.1186/s12859-017-1707-8 10.1016/0022-2836(81)90087-5 10.1186/s12859-017-1917-0 10.1186/1471-2105-15-S8-S1 10.1145/2400682.2400713 10.1109/IPDPS.2011.186 10.1007/978-3-642-15582-6_49 10.1109/ASAP.2008.4580177 10.1186/1471-2105-10-S1-S37 10.1186/s12859-019-2785-6 10.1137/0135006 10.1186/s12859-018-2008-6 |
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| Copyright | 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| References | Smith (ref_17) 1981; 147 ref_14 Nussinov (ref_5) 1978; 35 ref_13 ref_12 ref_11 Wonnacott (ref_2) 2013; 2013 ref_10 Xia (ref_15) 2009; 10 ref_1 Verdoolaege (ref_20) 2013; 9 Palkowski (ref_21) 2018; 19 Palkowski (ref_4) 2019; 20 Li (ref_18) 2014; 15 ref_9 Zuker (ref_16) 1981; 9 Zhao (ref_19) 2017; 18 ref_8 Palkowski (ref_3) 2017; 18 ref_7 ref_6 |
| References_xml | – ident: ref_14 doi: 10.1016/B978-0-12-384988-5.00014-0 – ident: ref_6 – ident: ref_9 – ident: ref_8 – volume: 9 start-page: 133 year: 1981 ident: ref_16 article-title: Optimal computer folding of large RNA sequences using thermodynamics and auxiliary information publication-title: Nucleic Acids Res. doi: 10.1093/nar/9.1.133 – volume: 18 start-page: 1 year: 2017 ident: ref_3 article-title: Parallel tiled Nussinov RNA folding loop nest generated using both dependence graph transitive closure and loop skewing publication-title: BMC Bioinform. doi: 10.1186/s12859-017-1707-8 – volume: 147 start-page: 195 year: 1981 ident: ref_17 article-title: Identification of common molecular subsequences publication-title: J. Mol. Biol. doi: 10.1016/0022-2836(81)90087-5 – volume: 18 start-page: 15 year: 2017 ident: ref_19 article-title: Cache and energy efficient algorithms for nussinov’s rna folding publication-title: BMC Bioinform. doi: 10.1186/s12859-017-1917-0 – ident: ref_10 – volume: 15 start-page: 1 year: 2014 ident: ref_18 article-title: Multicore and GPU algorithms for Nussinov RNA folding publication-title: BMC Bioinform. doi: 10.1186/1471-2105-15-S8-S1 – volume: 9 start-page: 1 year: 2013 ident: ref_20 article-title: Polyhedral parallel code generation for CUDA publication-title: ACM Trans. Archit. Code Optim. (TACO) doi: 10.1145/2400682.2400713 – ident: ref_12 doi: 10.1109/IPDPS.2011.186 – ident: ref_7 doi: 10.1007/978-3-642-15582-6_49 – ident: ref_11 doi: 10.1109/ASAP.2008.4580177 – volume: 10 start-page: 1 year: 2009 ident: ref_15 article-title: Fine-grained parallel RNAalifold algorithm for RNA secondary structure prediction on FPGA publication-title: BMC Bioinform. doi: 10.1186/1471-2105-10-S1-S37 – ident: ref_13 – ident: ref_1 – volume: 2013 start-page: 3 year: 2013 ident: ref_2 article-title: On the scalability of loop tiling techniques publication-title: IMPACT – volume: 20 start-page: 1 year: 2019 ident: ref_4 article-title: Tiling Nussinov’s RNA folding loop nest with a space-time approach publication-title: BMC Bioinform. doi: 10.1186/s12859-019-2785-6 – volume: 35 start-page: 68 year: 1978 ident: ref_5 article-title: Algorithms for loop matchings publication-title: SIAM J. Appl. Math. doi: 10.1137/0135006 – volume: 19 start-page: 1 year: 2018 ident: ref_21 article-title: Tuning iteration space slicing based tiled multi-core code implementing Nussinov’s RNA folding publication-title: BMC Bioinform. doi: 10.1186/s12859-018-2008-6 |
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| Title | 3D Tiled Code Generation for Nussinov’s Algorithm |
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