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| author | mjkwiatkowski <mati.rewa@gmail.com> | 2026-06-09 17:55:02 +0200 |
|---|---|---|
| committer | mjkwiatkowski <mati.rewa@gmail.com> | 2026-06-09 17:55:02 +0200 |
| commit | 311c1fc5dfc5ec5b626fea61e5f098191f865ff2 (patch) | |
| tree | 7fcbfe27fb3d4205d97d6060c01d5ed2a7afbcd5 /main.tex | |
| parent | b9eef2dd44a1183c0b8ba32b54ad491c557145b7 (diff) | |
initial commit
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| -rw-r--r-- | main.tex | 75 |
1 files changed, 67 insertions, 8 deletions
@@ -1,14 +1,73 @@ -\documentclass{article} -\usepackage{graphicx} % Required for inserting images +\documentclass[12pt, handout]{beamer} +\input{style/style.tex} +\begin{document} -\title{VU BSc Defense Slides Mateusz Kwiatkowski} -\author{Mateusz Kwiatkowski} -\date{June 2026} +\frame{\titlepage} -\begin{document} +\begin{frame}\frametitle{Motivation} + \begin{tcolorbox}[title=Context] + Heterogeneous datacenter architectures are common~\cite{DBLP:conf/date/MilojicicFDR21} due to the end of Dennard's scaling. + Nowadays, computational needs of AI drive managers to diversify datacenters even more~\cite{DBLP:journals/computer/AthavaleBBMMPS24}. + In result datacenters become extremely complex and hard to operate. + \end{tcolorbox} + \begin{minipage}[t]{0.45\linewidth} + \tiny + {\centering + \includegraphics[width=1.05\linewidth]{images/48-years-processor-trend-2.pdf} + } + \textbf{Figure 1.1:} 48 years of microprocessor trend data. Legend: \textcolor{Orange}{$\bigblacktriangleup$ Transistors (thousands)}, \textcolor{Blue}{$\lgblkcircle$ Single Thread Performance (SpecINT $\times 10^3$)}, \textcolor{Green}{$\lgblksquare$ Frequency (MHz)}, \textcolor{Maroon}{$\bigblacktriangledown$ Typical Power (Watts)}, $\mdlgblkdiamond$ Number of Logical Cores~\cite{DBLP:image/48Microprocessor/Rupp}. + \end{minipage} + \hspace{0.5cm} + \begin{minipage}[t]{0.45\linewidth} + {\centering + \includegraphics[width=1.1\linewidth]{images/AthavaleBBMMPS24_cropped.pdf} + } + \tiny + \textbf{Figure 1.2:} Explosive growth in AI computational requirements drives datacenter upgrades (source: NVIDIA Analysis: reproduction with NVIDIA permission by~\cite{DBLP:journals/computer/AthavaleBBMMPS24}). + \end{minipage} +\end{frame} + +\begin{frame}\frametitle{Background} +\end{frame} + + +\begin{frame}\frametitle{Research Questions} + \begin{tcolorbox}[title=Main Research Question, colbacktitle=red!70!black,colback=red!20!white] + How to enable predictive analytics for datacenters through digital twinning? + \end{tcolorbox} + + \begin{tcolorbox}[title=Research Question 1] + How to asses the current state-of-the-art of digital twinning for datacenters? + \end{tcolorbox} + + \begin{tcolorbox}[title=Research Question 2] + How to design a datacenter digital twin reference architecture using discrete-event simulation and predictive data analytics? + \end{tcolorbox} + + \begin{tcolorbox}[title=Research Question 3] + How to evaluate and validate a datacenter digital twin architecture in relation to system requirements? + \end{tcolorbox} +\end{frame} + + +\begin{frame}\frametitle{System model} +\end{frame} + + +\begin{frame}\frametitle{Reference Architecture} +\end{frame} + + +\begin{frame}\frametitle{Results} +\end{frame} -\maketitle +\begin{frame}\frametitle{References} + \tiny + \bibliographystyle{is-plain} + \bibliography{main.bib} +\end{frame} -\section{Introduction} +\begin{frame}\frametitle{Extra slides} +\end{frame} \end{document} |
