Merge pull request #80 from numpex/software-haven-corrections

tables for hawen

software/hawen/WP1/WP1.tex

@@ -234,10 +234,15 @@ \subsection{12-Month Roadmap}
 
 
 
-We wish to improve input/output data management by including more options 
+We wish to standardize the use of high-order polynomials, which 
+is critical for the HDG method. By high-order, we mean at least 
+order 7 in three dimensions, so that the static condensation used
+by the method becomes more useful. For instance, using high orders 
+to have robust and efficient quadrature rules.
+In addition, we wish to improve input/output data management by including more options 
 to save the results of \hawen, for instance this can include the hdf5 format
 which is not allowed currently.
-In addition, the configuration of the benchmark and the results obtained will 
+Eventually, the configuration of the benchmark and the results obtained will 
 be made available in open-access for reproducibility.
 %In this section, describe the roadmap for improving benchmarks and addressing the challenges identified. This should include:
 %\begin{itemize}
@@ -263,10 +268,10 @@ \subsection{12-Month Roadmap}
 
     \rowcolor{numpexgray}{\rule{0pt}{2.5ex}\color{white}\bf Bottlenecks} &  {\rule{0pt}{2.5ex}\color{white}\bf Short Description }\\ 
 
-\rowcolor{white}    B10 - Scientific Productivity & provide short description here \\
-\rowcolor{numpexlightergray}    B11 - Reproducibility and Replicability of Computation & provide short description here \\
-\rowcolor{white}    B6 - Data Management & provide short description here \\
-\rowcolor{numpexlightergray}    B7 - Exascale Algorithms & provide short description here \\
+\rowcolor{white}    B10 - Scientific Productivity & Improve high-order polynomials operations for HDG discretization. \\
+\rowcolor{numpexlightergray}    B11 - Reproducibility and Replicability of Computation & Each benchmark will have a separate repository with the input files and associated results to reproduce the simulations. \\
+\rowcolor{white}    B6 - Data Management & Provide the meshes used for the benchmark and the associated results in standard format such as vtk and hdf5. \\
+\rowcolor{numpexlightergray}    B7 - Exascale Algorithms & Control the memory footprint. \\
 \end{tabular}
         }
     }

software/hawen/WP3/WP3.tex

@@ -188,10 +188,17 @@ \subsection{12-Month Roadmap}
 %    \item \textbf{Results Retention:} Plans to maintain benchmark results in a publicly accessible repository with appropriate metadata and documentation, ensuring long-term usability.
 %\end{itemize}
 
-We wish to improve input/output data management by including more options 
-to save the results of \hawen, for instance this can include the hdf5 format
-which is not allowed currently.
-
+We wish to investigate the efficient of the linear algebra operations 
+when working with particularly high polynomial orders, as established
+in \cref{sec:WP1:Hawen:software}. 
+We emphasize the cost on the memory footprint for the matrix factorization,
+which is the main bottleneck in time-harmonic wave simulations using a 
+direct solver.
+We  will rely on the direct solver MUMPS to investigate the cost and benefit
+from its latest development to reduce the computational cost. However, one 
+must find a good compromise between the reduction of the memory footprint 
+(e.g., with block low-rank compression or mixed precision), and the accuracy
+of the solution.
 In~\cref{tab:WP3:Hawen:bottlenecks}, we briefly discuss the bottleneck roadmap associated to the software and relevant to the work package.
 
 \begin{table}[h!]
@@ -210,10 +217,17 @@ \subsection{12-Month Roadmap}
 
     \rowcolor{numpexgray}{\rule{0pt}{2.5ex}\color{white}\bf Bottlenecks} &  {\rule{0pt}{2.5ex}\color{white}\bf Short Description }\\ 
 
-\rowcolor{white}    B10 - Scientific Productivity & provide short description here \\
-\rowcolor{numpexlightergray}    B11 - Reproducibility and Replicability of Computation & provide short description here \\
-\rowcolor{white}    B6 - Data Management & provide short description here \\
-\rowcolor{numpexlightergray}    B7 - Exascale Algorithms & provide short description here \\
+\rowcolor{white}    B10 - Scientific Productivity & 
+Investigate the efficiency of the linear solvers with high-order polynomials
+required by HDG discretization (i.e., order higher than or equal to 7). \\
+\rowcolor{numpexlightergray}    B11 - Reproducibility and Replicability of Computation 
+& The benchmarks will be made available on online repository. \\
+\rowcolor{white}    B6 - Data Management 
+&  Inputs parameters will be made available to generate the matrix but to its size, the matrix
+   itself should not be stored.\\
+\rowcolor{numpexlightergray}    B7 - Exascale Algorithms & 
+Control the memory footprint of the solver and use latest developments of direct solver 
+MUMPS to reduce it. Investigate how the compression affects the accuracy of the solutions.\\
 \end{tabular}
         }
     }

software/hawen/WP4/WP4.tex

@@ -210,18 +210,23 @@ \subsection{12-Month Roadmap}
 We wish to combine the results of WP1 and WP3 
 \cref{sec:WP1:Hawen:software,sec:WP3:Hawen:software} 
 to obtain the most efficient configuration for inversion.
+It includes the use of high-order polynomials which, in turn,
+require to have sufficient flexibility for the representation 
+of the model onto the discretized domain to have the adequate
+resolution. In addition, the choices of configuration for the 
+underlying optimization method (e.g., choice of misfit function)
+is investigated.
 Once the numerical setup is designed, everything will be 
-made available on a dedicated repository for reproducibility.
-
+made available on a dedicated repository for reproducibility,
+see \cref{tab:WP4:Hawen:bottlenecks}.
 
 %In this section, describe the roadmap for improving benchmarks and addressing the challenges identified. This should include:
 %\begin{itemize}
 %    \item \textbf{Data Improvements:} Plans for improving input/output data management, including making datasets more accessible and ensuring reproducibility through open-data initiatives.
 %    \item \textbf{Methodology Application:} Implementation of the benchmarking methodology proposed in this deliverable to streamline reproducibility and dataset management.
 %    \item \textbf{Results Retention:} Plans to maintain benchmark results in a publicly accessible repository with appropriate metadata and documentation, ensuring long-term usability.
 %\end{itemize}
-
-In~\cref{tab:WP4:Hawen:bottlenecks}, we briefly discuss the bottleneck roadmap associated to the software and relevant to the work package.
+% In~\cref{tab:WP4:Hawen:bottlenecks}, we briefly discuss the bottleneck roadmap associated to the software and relevant to the work package.
 
 \begin{table}[h!]
     \centering
@@ -239,10 +244,18 @@ \subsection{12-Month Roadmap}
 
     \rowcolor{numpexgray}{\rule{0pt}{2.5ex}\color{white}\bf Bottlenecks} &  {\rule{0pt}{2.5ex}\color{white}\bf Short Description }\\ 
 
-\rowcolor{white}    B10 - Scientific Productivity & provide short description here \\
-\rowcolor{numpexlightergray}    B11 - Reproducibility and Replicability of Computation & provide short description here \\
-\rowcolor{white}    B6 - Data Management & provide short description here \\
-\rowcolor{numpexlightergray}    B7 - Exascale Algorithms & provide short description here \\
+\rowcolor{white}    B10 - Scientific Productivity 
+                        & Use flexible representation of the unknowns to maintain 
+                          the resolution in inversion, while still using discretization 
+                          based on large cells to benefit from the HDG method. 
+                          \\
+\rowcolor{numpexlightergray}    B11 - Reproducibility and Replicability of Computation 
+                        & Benchmarks are made available via online repositories.\\
+\rowcolor{white}    B6 - Data Management 
+                        & Datasets will be available within the repository. \\
+\rowcolor{numpexlightergray}    B7 - Exascale Algorithms 
+                        & Enable different methods to carry out the 
+                          iterative optimization.  \\
 \end{tabular}
         }
     }