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\ifauthorea{\newline}{}  \paragraph{OSR Machinery Generation.}  We now discuss the overhead of the \osrkit\ library for inserting OSR machinery in the IR of a function. \mytable\ref{tab:instrTime} reports for each benchmark the number of IR instructions in the instrumented function, the number of live values to transfer and the time spent in the IR manipulation. Locations for OSR points are chosen as in the experiments about code quality. quality, and the target function is a clone of the source function.  For open OSR points, we report the time spent in inserting the OSR point in the function and in generating the stub; both operations do not depend on the size of the function. For resolved OSR points, we report the time spent in inserting the OSR point and in generating the continuation function.  Not surprisingly, constructing a continuation function takes longer than the other operations (i.e., up to 1 ms vs. 20-40 us), as it involves cloning and manipulating the body of the target function - in this case, the source function itself - as described in Section {\bf XXX}; as the required time and thus  depends on the size of the function, its size. For this reason,  the table also contains a comes with an additional  column in which time is normalized against the number of IR instructions in the function. instructions.  \begin{table}   \begin{small}