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<title>Polly - Polyhedral optimizations for LLVM</title>
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<h1>About Polly</h1>
<!--*********************************************************************-->
<p> Polly is a polyhedral optimizer for LLVM. Using an abstract mathematical
representation it analyzes and optimizes the memory access pattern of a
program. This includes data-locality optimizations for cache locality as
well as automatic parallelization for thread-level and SIMD parallelism.
Our overall goal is an integrated optimizer for data-locality and
parallelism that takes advantage of multi-cores, cache hierarchies, short
vector instructions as well as dedicated accelerators.</p>
<p>See <a href="http://polyhedral.info">polyhedral.info</a> for general
information about polyhedral compilation.
<p>
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<b>WARNING:</b> Polly started as a research project and larger parts of it are
still open research projects. Even though we aim for a robust, production
quality implementation, not all parts of Polly are there yet. We invite
you to contribute - both as industry collaborator, who may want to use parts
of Polly in production, as well as researcher, who is more interested in using
his expertise to work on some of the open research projects.
</p>
<!--=====================================================================-->
<h2>News</h2>
<!--=====================================================================-->
<table id="news">
<tr><td><b>2014</b></td></tr>
<tr><td width="120"><p>February</p></td>
<td>
<h4>Polly presentation at FOSDEM 2014</h4> Polly was <a
href="https://fosdem.org/2014/schedule/event/polly/">presented</a> at the
FOSDEM LLVM developer's meeting.
<h4>New LLVM test-suite buildbots</h4>
The set of <a href="http://lab.llvm.org:8011/console?category=polly">Polly
buildbots</a> has been extended. We now have 16 new blades that track
correctness and performance when compiling the LLVM test-suite. For now five
of of them are used to provide <a
href="http://llvm.org/perf/db_default/v4/nts/22463">fine granularity
reports</a> (almost per-commit)
for 'clang -O3' (no polly). We also have six machines that track different
configurations of polly.
</td>
</tr>
<tr><td width="120"><p>January</p></td>
<td>
<h4>islplot released</h4>
<a href="https://github.com/tobig/islplot">islplot</a> is a library that
generates illustrations of integer sets and maps. It relies on <a
href="http://repo.or.cz/w/isl.git">isl</a> to model the integer sets and uses the <a
href="https://pypi.python.org/pypi/islpy">islpy</a> Python bindings to access
them. Plotting is performed with <a
href="http://matplotlib.org">matplotlib</a>. The following <a
href="http://nbviewer.ipython.org/github/tobig/islplot/blob/master/notebooks/islplot-examples.ipynb">
Examples</a> show its use.
</td>
</tr>
<tr><td><b>2013</b></td></tr>
<tr><td width="120"><p>November</p></td>
<td>
<h4>Loop optimization BoF at upcoming LLVM conference</h4>
At the upcoming <a href="http://llvm.org/devmtg/2013-11/#bof5">LLVM conference
</a> there will be a loop optimization BoF discussing Polly and other high
level loop optimizers.
</td>
</tr>
<tr><td width="120"><p>October</p></td>
<td>
<h4>Automatic code coverage and static analysis tests</h4>
Sylvestre Ledru set up automatic tests for <a
href="http://buildd-clang.debian.net/coverage/">code coverage</a> and
<a href="http://buildd-clang.debian.net/scan-build/">static analysis</a>
which run at least once a day and which include results for Polly.
<h4>Move to CLooG 0.18.1 and isl 0.12.1</h4>
With the move to an isl 0.12 version Polly can be compiled without the
need to link directly to GMP (if isl is used for code generation). Currently
isl is still internally using GMP, but private patches exist to also remove
this dependency. Without the use of GMP, a <b>GPL free</b> version of Polly
is possible.
</td></tr>
<tr><td><b>2012</b></td></tr>
<tr><td width="120"><p>December</p></td>
<td>
<h4> New publication in the PPL Journal
</h4>
We published a journal version of the Polly paper named
<em>
Polly - Performing polyhedral optimizations on a low-level intermediate
representation</em> in the Parallel Processing Letters 2012.
</td></tr>
<tr><td width="120"><p>September</p></td>
<td>
<h4>Experimental support for the <b>new isl code generator</b></h4>
The code generator can be parameterized on a fine-grained
level. It gives direct control for example over unrolling, the amount of
control overhead and the code size. It can also be used to
create loops to handle border conditions or to perform full-partial tile
separation.<br />
We also relicensed isl under the <b>MIT license</b>. This means, with the
exception of GMP (LGPL), there is no other (L)GPL licensed software used in
Polly. The
use of GMP is limited to a well defined interface. Replacing it with
a BSD licensed replacement is a tractable engineering project we would
be very interested in. For more information about isl see the <a
href="http://www.kotnet.org/~skimo/isl/manual.pdf">isl manual</a>.
</p>
</td></tr>
<tr><td width="120"><p>July</p></td>
<td>
<p> Polly can now be directly linked to the <a
href="http://pluto-compiler.sourceforge.net/">Pluto optimizer</a>. We were
already able to perform Pluto-like optimizations with Polly, as a similar
algorithm was added to isl half a year ago. However, being able to directly
compare with the original implementation will not only bring in competition in
the optimizer field. It will also allow new experiments with a cutting edge
research tool.<br \>
This support was on of the outcomes of the 1-day Polly workshop and the
following week of joint work at IISC Bangalore and in cooperation with
AMD India.
</td></tr>
<td>
</td></tr>
<tr><td width="120"><p>February</p></td>
<td>
<p>Polly is an official LLVM project, reachable at <a
href="http://polly.llvm.org">http://polly.llvm.org</a></p>
</td></tr>
<tr><td width="120"><p>January</p></td>
<td>
<p>Improved support for the isl scheduling optimizer</p>
Polly can now automatically optimize all <a
href="http://www.cse.ohio-state.edu/~pouchet/software/polybench/">polybench
2.0</a> kernels without the help of
an external optimizer. The compile time is reasonable and we can show
notable speedups for various kernels.
</td></tr>
<tr>
<tr><td><b><br/>2011</b></td></tr>
<tr><td width="120"><p>November</p></td>
<td>
<p>
Talk at the <a href="http://llvm.org/devmtg/2011-11/">
LLVM Developer Meeting 2011</a></p>
New SCEV parser<br>
(Allows parameters in array subscript and max/signextend)
</td></tr>
<tr>
<td><p>October</p></td>
<td>
<p>Polly can use the isl schedule optimizer<br>
(The optimizer is similar to the one in Pluto, but it is part of isl)
</p>
</td></tr>
<tr>
<td><p>August</p></td>
<td>
<p>
<a href="example_load_Polly_into_clang.html">Use Polly as
clang plugin</a></p>
</td>
</tr>
<tr>
<td><p>July</p></td>
<td>
<p> Polly builder as part of the <a
href="http://lab.llvm.org:8011/console">LLVM Buildbots</a>
</p>
</td>
</tr>
<tr>
<td><p>June</p></td>
<td>
<p><a href="http://www.grosser.es">Tobias</a> is founded for
three years by a <a
href="http://research.google.com/university/relations/fellowship_recipients.html">
Google Europe Fellowship in Efficient Computing</a>.
</p>
</td>
</tr>
<tr>
<td><p>May </p></td>
<td><p><a href="http://www.grosser.es">Tobias</a>' diploma thesis and
Raghesh's master thesis. See our <a
href="publications.html">list of publications</a>.</p></td>
</tr>
<tr>
<td><p>April</p></td>
<td><p>Polly moves to the LLVM infrastructure (svn, bugtracker)</p></td>
</tr>
<tr>
<td><p>March</p></td>
<td><p>Presentation at <a
href="http://impact2011.inrialpes.fr/">CGO/IMPACT</a></p>
<p>Polly can compile
polybench 2.0 with vectorization and OpenMP code generation</p>
</td>
</tr>
<tr>
<td><p>Februar</p></td>
<td><p>pollycc - a script to automatically compile with
polyhedral optimizations </p></td>
</tr>
<tr>
<td><p> Januar</p></td>
<td><p> Basic OpenMP support, Alias analysis integration,
Pluto/POCC support </p></td>
</tr>
<tr><td><b><br>2010</b></td></tr>
<tr>
<td><p> Dezember </p></td>
<td><p>Basic vectorization support </p></td>
</tr>
<tr>
<td><p> November </p></td>
<td><p>Talk at the <a
href="http://llvm.org/devmtg/2010-11/">LLVM Developer Meeting</a> </p></td>
</tr>
<tr>
<td><p>October</p></td>
<td><p>Dependency analysis </p>
<p>Finished Phase 1 - Get something working </p>
<p>Support scalar dependences and sequential SCoPs </p>
</td>
</tr>
<tr>
<td><p>August</p></td>
<td><p>RegionInfo pass committed to LLVM</p>
<p>llvm-test suite compiles </p>
</td>
</tr>
<tr>
<td><p>July</p></td>
<td><p>Code generation works for normal SCoPs. </p></td>
</tr>
<tr>
<td><p>June </p></td>
<td><p>OpenSCoP import/export works (as far as openscop is finished).</p></td>
</tr>
<tr>
<td><p>May</p></td>
<td><p>The CLooG AST can be parsed.</p>
</td>
</tr>
<tr>
<td><p>April</p></td>
<td><p>SCoPs can automatically be detected. </p></td>
</tr>
<tr>
<td><p>March</p></td>
<td><p>The RegionInfo framework is almost completed. </p></td>
</tr>
<tr>
<td><p>February</p></td>
<td><p>Translate a simple loop to Polly-IR and regenerate a loop structure
with CLooG works. </p>
<p>ISL and CLooG are integrated. </p></td>
</tr>
</tr>
<tr>
<td><p>January</p></td>
<td><p>The RegionInfo pass is finished. </p></td>
</tr>
<tr><td><b><br>2009</b></td></tr>
<tr>
<td><p>End of the year</p></td>
<td><p>Work on the infrastructure started. </p></td>
</tr>
</table>
</ul>
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