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@@ -6,16 +6,19 @@ \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~\cite{DBLP:image/48Microprocessor/Rupp}. + Heterogeneous datacenter architectures are common ~\cite{DBLP:conf/date/MilojicicFDR21} due to the end of Dennard's scaling~\cite{DBLP:image/48Microprocessor/Rupp}. Today, 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}. + \begin{center} + \includegraphics[width=0.7\linewidth]{images/nvidiagpu.png} + \end{center} + \vspace{-0.2cm} + \textbf{Figure 1.1:} Nvidia Ada Lovelace AD102 Architecture, present in all GPUs from 2022 onwards~\cite{Wikipedia:AdaLovelaceArchi}. + Source: official renderings by Nvidia. + %\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} |
