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%\subsection{Example}  In this section we discuss how to implement the OSR approach of \mysection\ref{se:overview} in LLVM. Our discussion is based on a simple example that illustrates a profile-driven optimization scenario. We start from a simple base function ({\tt isord}) that checks whether an array of numbers is ordered according to some criterion specified by a comparator (see \myfigure\ref{fi:isord-example}). Our goal is to instrument {\tt isord} so that, whenever the number of loop iterations exceeds a certain threshold, control is dynamically diverted to a faster version generated on the fly by inlining the comparator.   The IR code shown in this section has been generated with \clang\ and instrumented with \osrkit, a library we prototyped to help VM builders implement OSR in LLVM\footnote{Virtual register names and labels in the LLVM-produced IR code shown in this paper have been refactored to make the code more readable.}. \osrkit\ provides a number of useful abstractions that include open and resolved OSR instrumentation of IR  base functions, functions without breaking the SSA form,  liveness analysis, generation of OSR continuation functions, and mapping of LLVM values between different versions of a program along with compensation code generation\footnote{\osrkit\ is included in the accompanying artifact.}. %To explain how the OSR approach of \mysection\ref{se:overview} can be implemented in LLVM, we consider the simple example of \myfigure\ref{fi:isord-example}. Function {\tt isord} checks whether an array of numbers is ordered according to some criterion specified by a comparator.