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Experimental results presented in this section suggest that inserting an OSR point is a quick operation and is unlikely to degrade the quality of generated code. The time required to fire an OSR transition is negligible (i.e., order of nanoseconds), while the cost of generating a continuation function - either when inserting a resolved OSR point, or from the callback method invoked at an open OSR transition - is likely to be dominated by the cost of its compilation. For a front-end, the choice whether to insert an OSR point into a function for dynamic optimization merely depends on the trade-off between the expected benefits in terms of execution time and the overheads from generating and JIT-compiling an optimized version of the function; compared to these two operations, the cost of OSR-related operations is very likely to be negligible.  \subsection{Optimizing {\tt feval} in MATLAB}  \label{sse:feval-results}  We conclude this section by discussing with a discussion on  the effectiveness of our optimization technique for McVM McVM. In particular, we analyze its impact  on the running time of  a few numeric benchmarks, namely {\tt odeEuler}, {\tt odeMidpt}, {\tt odeRK4}, and {\tt sim\_anl}. The first three benchmarks solve an ODE for heat treating simulation using the Euler, midpoint, and Range-Kutta method, respectively\footnote{\url{http://web.cecs.pdx.edu/~gerry/nmm/mfiles/}}; the last benchmark minimizes the six-hump camelback function with the method of simulated annealing\footnote{\url{http://www.mathworks.com/matlabcentral/fileexchange/33109-simulated-annealing-optimization}}. We report the speed-ups enabled by our technique in \mytable\ref{tab:feval}, using the running times for McVM's \feval\ default dispatcher as baseline. As the dispatcher typically JIT-compiles the invoked function, we also analyzed running times when the dispatcher calls a previously compiled function. In the last column, we show speed-ups from a modified version of the benchmarks in which each \feval\ call is replaced by hand with a direct call to the function in use for the specific benchmark.   \begin{table}  \begin{small}