Robust Memory-Aware Mappings for Parallel Multifrontal Factorizations - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2012

Robust Memory-Aware Mappings for Parallel Multifrontal Factorizations

Abstract

We study the memory scalability of the parallel multifrontal factorization of sparse matrices. We illustrate why commonly used mapping strategies (e.g. proportional mapping) cannot achieve a high memory efficiency. We propose a class of "memory-aware' algorithms that aim at maximizing performance under memory constraints. These algorithms provide both accurate memory predictions and a robust solver. We illustrate our approach with experiments performed on large matrices with the MUMPS solver.
No file

Dates and versions

hal-00726644 , version 1 (30-08-2012)

Identifiers

  • HAL Id : hal-00726644 , version 1

Cite

Emmanuel Agullo, Patrick Amestoy, Alfredo Buttari, Abdou Guermouche, Jean-Yves L'Excellent, et al.. Robust Memory-Aware Mappings for Parallel Multifrontal Factorizations. SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP 2012), SIAM Activity Group on Supercomputing, Feb 2012, Savannah, Georgia, United States. ⟨hal-00726644⟩
382 View
1 Download

Share

Gmail Facebook X LinkedIn More