@inbook{2613d77274d3455590ad750be7c05345,
title = "Optimization of Finite-Differencing Kernels for Numerical Relativity Applications",
abstract = "A simple optimization strategy for the computation of 3D finite-differencing kernels on many-cores architectures is proposed. The 3D finite-differencing computation is split direction-by-direction and exploits two level of parallelism: In-core vectorization and multi-threads shared-memory parallelization. The main application of this method is to accelerate the high-order stencil computations in numerical relativity codes.",
author = "Roberto Alfieri and Sebastiano Bernuzzi and Albino Perego and David Radice",
note = "Publisher Copyright: {\textcopyright} 2018 The authors and IOS Press.",
year = "2018",
doi = "10.3233/978-1-61499-843-3-743",
language = "English (US)",
series = "Advances in Parallel Computing",
publisher = "IOS Press BV",
pages = "743--749",
editor = "Joubert, \{Gerhard R.\} and Patrizio Dazzi and Frans Peters and Marco Danelutto and Sanzio Bassini",
booktitle = "Parallel Computing is Everywhere",
}