\begin{femtoBlock}
{Main lines\\}
\begin{itemize}
- \item Numerical integration to compute the nonlinear transient response
+ \item Numerical integration to compute the nonlinear transient
+ response (runge kuta in C)
\item[] $\Rightarrow$ computation of matrices $A$ and $B$
\item Computation of the Readout
\item Test of the solution (cross validation)
\begin{frame}{Parallelization Scheme} % Slide 8
\begin{itemize}
- \item Port of the code in C++
+ \item Rewrite the code in C++
\item Parallelization with MPI (Message Passing Interface)
\item Computation of data response (sound, image) is independent so
- it can be parallelized
+ it can be parallelized (computation of matrices A and B)
\item Different regression tests are also independent
\item Test of new idea? First test with matlab and then adapt to C++
with MPI
Next:
\begin{itemize}
\item Number of nodes that significantly improve the solution (threshold)
- \item Form of a convolutional filter?
+ \item Input filter (convolutional filter for images)
\item Potentially any parameters
\end{itemize}
\item Next: maybe other heuristics
\end{itemize}
\end{femtoBlock}
+ \begin{femtoBlock}
+ {Similar results with the SDR problem\\}
+ \end{femtoBlock}
\end{frame}
\begin{frame}{Performances} % Slide 11