Algorithms and Data Structures for Matrix-Free Finite Element Operators with MPI-Parallel Sparse Multi-Vectors
Author:
Affiliation:
1. Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
2. Institute for Computational Mechanics, Technical University of Munich, Boltzmannstr., Garching, Germany
Abstract
Funder
German Research Foundation
Bayerisches Kompetenznetzwerk für Technisch-Wissenschaftliches Hoch- und Höchstleistungsrechnen
Publisher
Association for Computing Machinery (ACM)
Subject
Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Modeling and Simulation,Software
Link
https://dl.acm.org/doi/pdf/10.1145/3399736
Reference67 articles.
1. Partitioning models for scaling parallel sparse matrix-matrix multiplication;Akbudak Kadir;ACM Transactions on Parallel Computing (TOPC),2018
2. Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication
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