Update the profiling section
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@12243 91177308-0d34-0410-b5e6-96231b3b80d8
diff --git a/docs/OpenProjects.html b/docs/OpenProjects.html
index 1a70dc8..d528bf3 100644
--- a/docs/OpenProjects.html
+++ b/docs/OpenProjects.html
@@ -229,11 +229,11 @@
<div class="doc_text">
-<p>We are getting to the point where we really need a unified infrastructure for
-profile guided optimizations. It would be wonderful to be able to write profile
-guided transformations which can be performed either at static compile time
-(compile time or offline optimization time) or at runtime in a JIT type setup.
-The LLVM transformation itself shouldn't need to know how it is being used.</p>
+<p>We now have a unified infrastructure for writing profile-guided
+transformations, which will work either at offline-compile-time or in the JIT,
+but we don't have many transformations. We would welcome new profile-guided
+transformations as well as improvements to the current profiling system.
+</p>
<p>Ideas for profile guided transformations:</p>
@@ -245,6 +245,23 @@
<li>...</li>
</ol>
+<p>Improvements to the existing support:</p>
+
+<ol>
+<li>The current block and edge profiling code that gets inserted is very simple
+and inefficient. Through the use of control-dependence information, many fewer
+counters could be inserted into the code. Also, if the execution count of a
+loop is known to be a compile-time or runtime constant, all of the counters in
+the loop could be avoided.</li>
+
+<li>You could implement one of the "static profiling" algorithms which analyze a
+piece of code an make educated guesses about the relative execution frequencies
+of various parts of the code.</li>
+
+<li>You could add path profiling support, or adapt the existing LLVM path
+profiling code to work with the generic profiling interfaces.</li>
+</ol>
+
</div>
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