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authorTobias Grosser <tobias@grosser.es>2016-02-25 14:17:11 +0000
committerTobias Grosser <tobias@grosser.es>2016-02-25 14:17:11 +0000
commit6b00ef338e9ccad1bf2812f4589c41e1e4a40fdc (patch)
tree73a0f090d4c65a933e3e72bf2007d83361325368
parenta79209804751d13f591de68ec7052a8297fc5421 (diff)
downloadbcm5719-llvm-6b00ef338e9ccad1bf2812f4589c41e1e4a40fdc.tar.gz
bcm5719-llvm-6b00ef338e9ccad1bf2812f4589c41e1e4a40fdc.zip
Add Polly GSoC projects
These projects are just some first thoughts. Feel free to updated / add ideas for further projects. llvm-svn: 261867
Diffstat
-rw-r--r--polly/www/content.css2
-rw-r--r--polly/www/menu.html.incl1
-rw-r--r--polly/www/projects.html87
3 files changed, 89 insertions, 1 deletions
diff --git a/polly/www/content.css b/polly/www/content.css
index 549b2a99ece..1294af71748 100644
--- a/polly/www/content.css
+++ b/polly/www/content.css
@@ -24,7 +24,7 @@ h1, h2, h3, tt { color: #000 }
h1 { padding-top:0px; margin-top:0px;}
h2 { color:#333333; padding-top:0.5em; }
-h3 { padding-top: 0.5em; margin-bottom: -0.25em; color:#2d58b7}
+h3 { padding-top: 0.5em; color:#2d58b7}
li { padding-bottom: 0.5em; }
ul { padding-left:1.5em; }
diff --git a/polly/www/menu.html.incl b/polly/www/menu.html.incl
index 46bdcdc1d72..8b53de3a71a 100644
--- a/polly/www/menu.html.incl
+++ b/polly/www/menu.html.incl
@@ -21,6 +21,7 @@ Optimizations</span></h2>
<a href="/contributors.html">Contributors</a>
<a href="/todo.html">TODO</a>
<a href="/changelog.html">ChangeLog</a>
+ <a href="/projects.html">Open Projects</a>
</div>
<div class="submenu">
diff --git a/polly/www/projects.html b/polly/www/projects.html
new file mode 100644
index 00000000000..2128b70e37d
--- /dev/null
+++ b/polly/www/projects.html
@@ -0,0 +1,87 @@
+<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN"
+ "http://www.w3.org/TR/html4/strict.dtd">
+<!-- Material used from: HTML 4.01 specs: http://www.w3.org/TR/html401/ -->
+<html>
+<head>
+ <META http-equiv="Content-Type" content="text/html; charset=ISO-8859-1">
+ <title>Polly - Polyhedral optimizations for LLVM</title>
+ <link type="text/css" rel="stylesheet" href="menu.css">
+ <link type="text/css" rel="stylesheet" href="content.css">
+ <script src="video-js/video.js" type="text/javascript" charset="utf-8"></script>
+ <script type="text/javascript">
+ VideoJS.setupAllWhenReady();
+ </script>
+
+ <!-- Include the VideoJS Stylesheet -->
+ <link rel="stylesheet" href="video-js/video-js.css" type="text/css" media="screen" title="Video JS">
+</head>
+<body>
+<div id="box">
+<!--#include virtual="menu.html.incl"-->
+<div id="content">
+ <!--*********************************************************************-->
+ <h1>Open Projects</h1>
+ <!--*********************************************************************-->
+
+ LLVM Polly keeps here a list of open projects which each of themselves would
+ be a great contribution to Polly. All of these projects are meant to be self
+ contained and should take a newcomer around 3-4 months of work. The projects
+ we propose are all suiteable as <a
+ href="https://developers.google.com/open-source/gsoc/">Google Summer of
+ Code</a> projects. In case you are interested in a Google Summer of code
+ project make sure to reach out via the Polly <a
+ href="http://groups.google.com/group/polly-dev">mailing list</a> early to
+ discuss your project proposal.
+
+ <h3>Integrate Polly with the LLVM vectorizers</h3>
+ Polly is not only a self-contained optimizer, but also provides a powerful
+ dependence and other program analyses. Currently, these analyses are only used
+ for our own optimizations. However, LLVM passes such as the loop vectorizer
+ would clearly benefit from having direct access to the available Polly
+ analyses. In this project, you would define in collaboration with the LLVM
+ community and considering existing dependence analysis interface a new
+ dependence analysis interface for Polly that allows passes to directly query
+ Polly analysis. Even though this project sounds straightforward at a first
+ glance, sorting out how to actually make this happen with the current and
+ the new pass managers, understanding how and when to invalidate the Polly
+ analysis and if dependence information can be computed on-demand make this
+ still a challenging project. If successful, this project may be a great way
+ to bring features of Polly to standard -O3 optimizations.
+
+ <h3>Register tiling to obtain fast BLAS kernels with Polly</h3>
+ Even though Polly is already able to speep up compute kernels significantly,
+ when comparing to the best BLAS routines we still are at least one order of
+ magnitude off. In this project you will investigate what is needed to close
+ this performance gap. Earlier investigations have shown that register tiling
+ is one important piece towards this goal. In combination with good tile size
+ models and some back-end work, this project is shooting to make common blas
+ operations, but also many non-blas kernels competitive with vendor math
+ libraries and outperforming the code icc/gcc currently generate.
+
+ <h3>Polly support for Julia - First steps</h3>
+ <a href="http://julialang.org/">Julia</a> is a new matlab style programming
+ language that provides C like performance for scientific computing. Even
+ though Julia also translates to LLVM-IR, parsing and optimizing Julia code
+ poses new challenges that currently prevent Polly from optimizing Julia
+ code despite the clear need for optimizations such as loop-tiling for Julia.
+ In this project you will -- starting from first proof-of-concept patches --
+ integrate Polly into Julia and ensure that Julia code can benefit from the
+ same high-level loop optimizations as todays C code already does. If time
+ permits, making Polly's recent bound-check elimination logic work in Julia
+ code would allow the optimization of Julia code, even if save out-of-bound
+ checking is used.
+ <h3>Interactive Polyhedral Web Calculator</h3>
+ At the core of Polly we use the isl math library. isl allows us to describe
+ loop transformations with relatively simple higher level operations while
+ still providing the full expressiveness of integer polyhedra. To understand
+ and describe the transformations we are performing it is often very convenient
+ to quickly script example transformations in a low-level language like python
+ and then subsequently. isl already comes with a python binding generator, with
+ pypyjs there is a python interpreter for the web and with emscriptem isl
+ itself can also be compiled to javascript. In this project you combine all
+ these components to obtain an interactive polyhedral web calculator, that uses
+ latest web technology to nicely illustrate the integer polyhedra you obtain.
+</div>
+</div>
+</body>
+</html>
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