Unverified Commit 001b5879 authored by theova's avatar theova
Browse files

Add subsubsections

parent bb09989f
......@@ -51,7 +51,8 @@ Optimize latency, hardware cost, power and energy
\item or if there is a dedicated resource for each operation
\end{compactitem}
\textbf{As Soon As Possible Algorithm (ASAP)}: Guarantees minimal latency. Constructive, greedy from the beginning
\subsubsection{As Soon As Possible Algorithm (ASAP)}
Guarantees minimal latency. Constructive, greedy from the beginning
\begin{python}
ASAP(G_S(V_S,E_S),w) {
tau(v_0)=1;
......@@ -63,7 +64,8 @@ Optimize latency, hardware cost, power and energy
}
\end{python}
\textbf{As Late As Possible Algorithm (ALAP)} Heuristic, not optimal. Constructive, greedy from the end
\subsubsection{As Late As Possible Algorithm (ALAP)}
Heuristic, not optimal. Constructive, greedy from the end
\begin{python}
ALAP(G_S(V_S,E_S),w,L_max) {
tau(v_n) = L_max + 1;
......@@ -78,7 +80,7 @@ If $L_{max}$ is not given, it is taken from the LIST Schedule because it
guarantees that a feasible schedule exists for this latency.
\bigskip
\textbf{Scheduling with Timing Constraints} \newline
\subsubsection{Scheduling with Timing Constraints}
\begin{compactitem}
\item Deadlines: Latest finishing time
\item Release Times: Earliest starting time
......@@ -113,8 +115,7 @@ $$\forall v_i \in V_C\setminus\{v_0\}: \quad \tau(v_i) = -\infty$$
% \end{equation*}
% where $L_{max}$ is an upper bound on the latency.
\textcolor{red}{\textbf{List Scheduling} (10-45)} (widely used heuristic)
\subsubsection{List scheduling}
\subsubsection{List Scheduling (10-45) (widely used heuristic)}
\begin{compactitem}
......@@ -150,7 +151,7 @@ $$\forall v_i \in V_C\setminus\{v_0\}: \quad \tau(v_i) = -\infty$$
Produces the following Ablaufplan (indep. of priorities)\\
\includegraphics[width=0.3\linewidth]{list_scheduling}
\textcolor{red}{\textbf{Integer Linear Programming (10-50)}}
\subsubsection{Integer Linear Programming (10-50)}
\begin{compactitem}
\item Yields optimal solution
\item Solves scheduling, binding and allocation simultaneously
......
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