Accelerating 3-Way Epistasis Detection with CPU+GPU Processing-Reference-Cited by-同舟云学术

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Accelerating 3-Way Epistasis Detection with CPU+GPU Processing

Published:2020 Issue: Volume: Page:106-126
ISSN:0302-9743
Container-title:Job Scheduling Strategies for Parallel Processing
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Author:

Nobre Ricardo,Santander-Jiménez Sergio,Sousa Leonel,Ilic Aleksandar

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-63171-0_6

Reference20 articles.

1. Buckles, B.P., Lybanon, M.: Algorithm 515: Generation of a vector from the lexicographical index [g6]. ACM Trans. Math. Softw. 3(2), 180–182 (1977). https://doi.org/10.1145/355732.355739

2. Cooper, G.F., Herskovits, E.: A bayesian method for the induction of probabilistic networks from data. Mach. Learn. 9, 309–347 (1992). https://doi.org/10.1007/BF00994110

3. González-Domínguez, J., Ramos, S., Touriño, J., Schmidt, B.: Parallel pairwise epistasis detection on heterogeneous computing architectures. IEEE Trans. Parallel Dist. Syst. 27, 2329–2340 (2016). https://doi.org/10.1109/TPDS.2015.2460247

4. González-Domínguez, J., Schmidt, B.: GPU-accelerated exhaustive search for third-order epistatic interactions in case-control studies. J. Comput. Sci. 8, 93–100 (2015). https://doi.org/10.1016/j.jocs.2015.04.001

5. Goudey, B., et al.: High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in genome wide association studies. Health Inf. Sci. Syst. 3, S3 (2015). https://doi.org/10.1186/2047-2501-3-S1-S3

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