In the context of hybrid sparse linear solvers based on domain decomposition and Schur complement approaches, getting a domain decomposition tool leading to a good balancing of …
In this talk we will discuss our research activities on the design of parallel linear solvers for large scale problems that range from dense linear algebra, to parallel sparse …
When solving large sparse linear systems, both the amount of memory needed and the computational cost represent a burden to efficiency. In order to solve larger systems, low-rank …
In the context of solving sparse linear systems, an ordering process partitions the matrix graph to minimize both fill-in and computational cost. We found that the ordering …
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Add the full text or supplementary notes for the publication here using Markdown formatting.
Add the full text or supplementary notes for the publication here using Markdown formatting.
Add the full text or supplementary notes for the publication here using Markdown formatting.
In the context of hybrid sparse linear solvers based on domain decomposition and Schur complement approaches, getting a domain decomposition tool leading to a good balancing of …
Add the full text or supplementary notes for the publication here using Markdown formatting.