From 5e896ad4bc5fdb2160f9129adcb2328ea96de21f Mon Sep 17 00:00:00 2001 From: Christophe Prud'homme Date: Fri, 1 Nov 2024 14:36:34 +0100 Subject: [PATCH] improve input data describe the size of the data to be handled. #13 --- article.hid2-ub-cicd.ppam24.tex | 44 +++++++++++++++++++-------------- 1 file changed, 26 insertions(+), 18 deletions(-) diff --git a/article.hid2-ub-cicd.ppam24.tex b/article.hid2-ub-cicd.ppam24.tex index d56d879..7d0eba1 100644 --- a/article.hid2-ub-cicd.ppam24.tex +++ b/article.hid2-ub-cicd.ppam24.tex @@ -6,6 +6,9 @@ \usepackage{wrapfig} \usepackage[]{subcaption} \usepackage{booktabs} +\usepackage{tabularx} +\usepackage{siunitx} +\usepackage{ragged2e} \usepackage{multicol} \usepackage{url} \usepackage{tikz} @@ -540,24 +543,26 @@ \subsubsection{Input data} \Cref{tab:input-data-size-comparison} lists these files with their corresponding sizes for New York City and a duration of one year for the simulation. In addition, we compared the size of the input data with the size of the zone. -\begin{table}[h] -\begin{center} - \begin{tabular}{lccc} - \toprule - Files & $4 \times 4 \mathrm{km}^2$ & $10 \times 10 \mathrm{km}^2$ & $20 \times 20 \mathrm{km}^2$ \\ [0.5ex] - geographicdata\_setup.json & 4.0 K & 4.0 K & 4.0 K \\ - gis.json & 23 M & 117M & 470 M \\ - mesh\_lod0.msh & 17 M & 112M & 496 M \\ - mesh\_lod1.msh & 44 M & 240M & 896 M \\ - weather-data-0.hourly-variables.csv & 384 K & 384 K & 384 K \\ - weather-data.json & 4.0 K & 4.0 K & 4.0 K \\ [1ex] - \bottomrule - \end{tabular} -\end{center} -\caption{Size comparison of input data using New York city.} -\label{tab:input-data-size-comparison} -\end{table} - +\begin{table}[ht] + \centering + \caption{Size comparison of input data files for different geographical extents in New York City} + \label{tab:input-data-size-comparison} + \begin{tabularx}{.8\linewidth}{l *{3}{>{\RaggedLeft\arraybackslash}X}} + \toprule + \textbf{Files} & \textbf{\text{4 $\times$ 4} \si{\kilo\meter\squared}} & \textbf{\text{10 $\times$ 10} \si{\kilo\meter\squared}} & \textbf{\text{20 $\times$ 20} \si{\kilo\meter\squared}} \\ + \midrule + \texttt{geographicdata\_setup.json} & \SI{4.0}{\kilo\byte} & \SI{4.0}{\kilo\byte} & \SI{4.0}{\kilo\byte} \\ + \texttt{gis.json} & \SI{23}{\mega\byte} & \SI{117}{\mega\byte} & \SI{470}{\mega\byte} \\ + \texttt{mesh\_lod0.msh} & \SI{17}{\mega\byte} & \SI{112}{\mega\byte} & \SI{496}{\mega\byte} \\ + \texttt{mesh\_lod1.msh} & \SI{44}{\mega\byte} & \SI{240}{\mega\byte} & \SI{896}{\mega\byte} \\ + \texttt{weather-data-0.hourly-variables.csv} & \SI{384}{\kilo\byte} & \SI{384}{\kilo\byte} & \SI{384}{\kilo\byte} \\ + \texttt{weather-data.json} & \SI{4.0}{\kilo\byte} & \SI{4.0}{\kilo\byte} & \SI{4.0}{\kilo\byte} \\ + \bottomrule + \end{tabularx} + \end{table} + +In the future, the input data is expected to grow even larger with the addition of new details such as roofs, building characteristics, vegetation (e.g., trees), and terrain information. +These enhancements will increase the complexity and accuracy of the simulation and the amount of data required to accurately model the urban environment. \section{CI/CD Framework for the Urban Building Pilot} \label{sec:cicd-framework} @@ -583,6 +588,9 @@ \subsection{Standard CI/CD DevOps} \item \textbf{Scheduled Runs:} Conducting regular updates and maintenance checks to ensure continuous system integrity and responsiveness. \end{enumerate} + + + \subsection{HPC DevOps (HPCOps)} Feel++ CI/CD workflow for high-performance computing applications incorporates specialized HPCOps (HPC DevOps) practices that ensure the software performs consistently across various HPC systems.