Tensor-Accelerated Fourth-Order Epistasis Detection on GPUs

Author:

Nobre Ricardo1,Ilic Aleksandar1,Santander-Jiménez Sergio2,Sousa Leonel1

Affiliation:

1. INESC-ID, Portugal and Instituto Superior Técnico, Universidade de Lisboa, Portugal

2. University of Extremadura (UNEX), Spain

Funder

H2020 LEIT Information and Communication Technologies

Fundação para a Ciência e a Tecnologia

Publisher

ACM

Reference27 articles.

1. George  E. Andrews , Richard Askey , and Ranjan Roy . 1999. The Gamma and Beta Functions . Cambridge University Press , 1–60. George E. Andrews, Richard Askey, and Ranjan Roy. 1999. The Gamma and Beta Functions. Cambridge University Press, 1–60.

2. Arash Bayat and others. 2021. Fast and accurate exhaustive higher-order epistasis search with BitEpi. Scientific Reports 11, 1 (05 Aug 2021 ), 15923. Arash Bayat and others. 2021. Fast and accurate exhaustive higher-order epistasis search with BitEpi. Scientific Reports 11, 1 (05 Aug 2021), 15923.

3. Rafael Campos and others. 2020. Heterogeneous CPU+iGPU Processing for Efficient Epistasis Detection . In Euro-Par 2020: Parallel Processing . Springer International Publishing , Cham , 613–628. Rafael Campos and others. 2020. Heterogeneous CPU+iGPU Processing for Efficient Epistasis Detection. In Euro-Par 2020: Parallel Processing. Springer International Publishing, Cham, 613–628.

4. Gregory  F. Cooper and Edward Herskovits . 1992 . A Bayesian method for the induction of probabilistic networks from data. Machine Learning 9, 4 (01 Oct 1992), 309–347. Gregory F. Cooper and Edward Herskovits. 1992. A Bayesian method for the induction of probabilistic networks from data. Machine Learning 9, 4 (01 Oct 1992), 309–347.

5. Parallel Pairwise Epistasis Detection on Heterogeneous Computing Architectures

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