Merge pull request #79 from numpex/74-fix-undefined-citation-and-refe…

…rences resolves #74: fix undefined section references and citations
numpex · Oct 16, 2024 · f55c9b6 · f55c9b6
2 parents f02a6ea + d79766b
commit f55c9b6
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diff --git a/chapters/software.tex b/chapters/software.tex
@@ -1,6 +1,6 @@
 \clearpage
 \chapter{Software}
-\label{sec:software}
+\label{chap:software}
 
 This chapter presents the software developed within Exa-MA, focusing on features, mathematics, functionalities, publications, acknowledgments, and contact details.
 

diff --git a/exa-ma-d7.1.tex b/exa-ma-d7.1.tex
@@ -204,6 +204,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 \chapter{Introduction}
+\label{chap:introduction}
 \input{sections/summary}
 \input{sections/introduction}
 \import{chapters/}{benchmarking}

diff --git a/sections/introduction.tex b/sections/introduction.tex
@@ -43,7 +43,7 @@ \subsection{Structure of the Document}
 
 \begin{itemize}
     \item \Cref{chap:introduction} introduces the purpose and scope of the deliverable, providing an overview of the Exa-MA project.
-    \item \Cref{chap:benchmarking} presents the benchmarking methodology that will be developed for exascale software, detailing the key objectives, testing processes, data management strategies, fault tolerance mechanisms, and the use of demonstrators.
+    \item \Cref{chap:methodology} presents the benchmarking methodology that will be developed for exascale software, detailing the key objectives, testing processes, data management strategies, fault tolerance mechanisms, and the use of demonstrators.
     \item \Cref{chap:software} provides a general overview of the software developed within Exa-MA, focusing on their features, mathematical foundations, functionalities, relevant publications, acknowledgments, and contact details. It includes general statistics about the software, offering insights into their characteristics and technological choices, such as supported architectures, programming languages, parallelism technologies, data formats, and DevOps practices.
     \item \Cref{chap:wp1} (\textbf{WP1 - Discretization}) presents software relevant to the discretization methods developed within this work package. For each software, we detail their features, the methods they implement, parallel capabilities, benchmarks and metrics developed, challenges identified, and provide a 12-month roadmap.
     \item \Cref{chap:wp2} (\textbf{WP2 - Model Order, Surrogate, Scientific Machine Learning Methods}) covers software related to reduced-order models, surrogate modeling, and scientific machine learning techniques tailored for exascale applications. Each software is presented with its implemented methods, parallel capabilities, associated benchmarks and metrics, challenges identified, and a 12-month roadmap.

diff --git a/software/hpddm/hpddm.tex b/software/hpddm/hpddm.tex
@@ -129,9 +129,9 @@ \subsection{Relevant Publications}
 
 Here is a list of relevant publications related to the software:
 \begin{itemize}
-\item \fullcite{jolivet_ddprecond_2013} presents a two-level domain decomposition preconditioner tested to solve elliptic problems in parallel with up to 22 billion unknowns in 2D and 2 billion unknowns in 3D.
-\item \fullcite{jolivet_blockrecycling_2016} presents block iterative methods and recycling strategies to solve linear systems with multiple right-hand sides and millions of unknwons while preserving a good scalability.
-\item \fullcite{jolivet_ksphpddm-pchpddm_2021} presents KSPHPDDM (Krylov methods) and PCHPDDM (preconditioners) available in PETSc, when configured with HPDDM support.
+\item \fullcite{jolivet_scalable_2013} presents a two-level domain decomposition preconditioner tested to solve elliptic problems in parallel with up to 22 billion unknowns in 2D and 2 billion unknowns in 3D.
+\item \fullcite{jolivet_block_2016} presents block iterative methods and recycling strategies to solve linear systems with multiple right-hand sides and millions of unknwons while preserving a good scalability.
+\item \fullcite{jolivet_ksphpddm_2021} presents KSPHPDDM (Krylov methods) and PCHPDDM (preconditioners) available in PETSc, when configured with HPDDM support.
 \end{itemize}