deletions | additions       diff --git a/osr-llvm.tex b/osr-llvm.tex  index a94a0f6..e7eb658 100644  --- a/osr-llvm.tex  +++ b/osr-llvm.tex 
...
%\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, as shown in \myfigure\ref{fi:isord-example}. Our goal is to instrument {\tt isort} so that, whenever the number of iterations of {\tt isord} 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 \osrkit, an LLVM-based library we designed to support that supports  VM builders with a set of abstractions for OSR instrumentation of IR code\ifauthorea{\footnote{\osrkit\ code\ifauthorea{}{\footnote{\osrkit\  is included in the accompanying artifact.}}{}. 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.