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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> |
