@inproceedings{6cdadc4e018b498f92dfc653acd5435d,
title = "Parallel multi-projection type methods on hybrid CPU/MIC cluster",
abstract = "Many problems occurring in various scientields require the ecient solution of large sparse linear systems derived from the discretization of partial di.erential equations. Preconditioned Krylov subspace iterative methods based on domain decomposition techniques are suitable for solving large sparse linear systems on parallel systems. A parallel preconditioned iterative method in conjunction with semi-Aggregation based algebraic domain decomposition method for symmetric sparse linear systems is presented. .e proposed method is designed for distributed memory systems with multicore nodes, equipped with many integrated core architecture co-processors (Intel Xeon Phi). Utilizing the MIC architecture co-processors, concurrently with existing CPUs, for solving the local linear systems results in accelerating the solution process. Moreover, for large number for subdomains the proposed parallel scheme has improved convergence behavior. .e convergence behavior and the scalability of the proposed scheme are examined and numerical results are given.",
keywords = "Aggregation, Algebraic domain decomposition, High performance computing, Many integrated core architecture, Parallel solver, semi-coarsening",
author = "Moutafis, \{B. E.\} and Filelis-Papadopoulos, \{C. K.\} and Kyziropoulos, \{P. E.\} and Gravvanis, \{G. A.\}",
note = "Publisher Copyright: {\textcopyright} 2017 Copyright held by the owner/author(s).; 21st Pan-Hellenic Conference on Informatics, PCI 2017 ; Conference date: 28-09-2017 Through 30-09-2017",
year = "2017",
month = sep,
day = "28",
doi = "10.1145/3139367.3139395",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
booktitle = "Proceedings - 21st Pan-Hellenic Conference on Informatics, PCI 2017",
address = "United States",
}