From 4d220bb3c91806edc9b3146b2a1764ddcd065040 Mon Sep 17 00:00:00 2001 From: Christophe Prud'homme Date: Mon, 14 Oct 2024 12:25:41 +0200 Subject: [PATCH] minor fix --- software/hpddm/WP3/WP3.tex | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/software/hpddm/WP3/WP3.tex b/software/hpddm/WP3/WP3.tex index faa46c8..de55281 100644 --- a/software/hpddm/WP3/WP3.tex +++ b/software/hpddm/WP3/WP3.tex @@ -100,7 +100,7 @@ \subsection{Initial Performance Metrics} \subsubsection{Benchmark \#1} \begin{itemize} \item \textbf{Description:} A discrete fracture network (DFN) is a modeling approach used to represent the geometry and connectivity of fractures in rock masses. It treats fractures as discrete features within a larger rock domain, often simulating the flow of fluids or transport of particles through these fractures. This requires the solution of large symmetric positive definite systems, with hundreds of millions of unknowns. - \item \textbf{Benchmarking Tools Used:} PETSc \verb!-log_view! will be used to mesure execution time and FLOPS. + \item \textbf{Benchmarking Tools Used:} PETSc \verb!-log_view! will be used to measure execution time and FLOPS. % \item \textbf{Input/Output Dataset Description:} % \begin{itemize} % \item \textbf{Input Data:} Describe the input dataset (size, format, data type) and provide a DOI or link to access it.