Details

Autor(en) / Beteiligte

• Gonzalez-Dominguez, Jorge
• Ramos, Sabela
• Tourino, Juan
• Schmidt, Bertil

Titel

Parallel Pairwise Epistasis Detection on Heterogeneous Computing Architectures

Ist Teil von

• IEEE transactions on parallel and distributed systems, 2016-08, Vol.27 (8), p.2329-2340

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2016

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• Development of new methods to detect pairwise epistasis, such as SNP-SNP interactions, in Genome-Wide Association Studies is an important task in bioinformatics as they can help to explain genetic influences on diseases. As these studies are time consuming operations, some tools exploit the characteristics of different hardware accelerators (such as GPUs and Xeon Phi coprocessors) to reduce the runtime. Nevertheless, all these approaches are not able to efficiently exploit the whole computational capacity of modern clusters that contain both GPUs and Xeon Phi coprocessors. In this paper we investigate approaches to map pairwise epistasic detection on heterogeneous clusters using both types of accelerators. The runtimes to analyze the well-known WTCCC dataset consisting of about 500 K SNPs and 5 K samples on one and two NVIDIA K20m are reduced by 27 percent thanks to the use of a hybrid approach with one additional single Xeon Phi coprocessor.