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1<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN"2          "http://www.w3.org/TR/html4/strict.dtd">3<!-- Material used from: HTML 4.01 specs: http://www.w3.org/TR/html401/ -->4<html>5<head>6  <META http-equiv="Content-Type" content="text/html; charset=ISO-8859-1">7  <title>Polly - Publications</title>8  <link type="text/css" rel="stylesheet" href="menu.css">9  <link type="text/css" rel="stylesheet" href="content.css">10</head>11<body>12<div id="box">13<!--#include virtual="menu.html.incl"-->14<div id="content">15  <!--*********************************************************************-->16  <h1>Publications</h1>17  <!--*********************************************************************-->18 19  <h2> Publications about polyhedral compilation </h2>20  <a href="https://polyhedral.info/publications.html">polyhedral.info</a> has a21  large list of publications related to polyhedral compilation. They are very22  useful to get an idea of the latest developments in this area of compilation23  as well as to understand what kind of optimizations can be built on top of24  Polly.25 26  <h2> Citing Polly</h2>27 28  The canonical publication to cite Polly is:29 30<p>31  <em>Polly - Performing polyhedral optimizations on a low-level intermediate32      representation </em><br />33Tobias Grosser, Armin Groesslinger, Christian Lengauer<br />34Parallel Processing Letters 2012 22:04<br />35  <a href="https://www.grosser.es#pub-Polly">Paper</a>36</p>37 38  <h2> Publications involving Polly </h2>39  <h3> 2016 </h3>40  <ul>41  <li><em>Loopy: Programmable and Formally Verified Loop Transformations</em><br />42  Kedar Namjoshi and Nimit Singhania<br />43  23rd Static Analysis Symposium (SAS 2016)<br />44  <a href="https://link.springer.com/chapter/10.1007/978-3-662-53413-7_19">Paper</a>45  </li>46  <li><em>Input Space Splitting for OpenCL</em><br />47  Simon Moll, Johannes Doerfert and Sebastian Hack<br />48  25th International Conference on Compiler Construction (CC 2016)<br />49  </li>50  <li><em>Parallelisation automatique de programmes scientifiques pour systems51  distribues52  </em><br />53  Felix-Antoine Quellet<br />54  Master Thesis, Universite de Sherbrooke<br />55  <a56  href="https://savoirs.usherbrooke.ca/bitstream/handle/11143/8171/Ouellet_Felix_Antoine_MSc_2016.pdf?sequence=4">Thesis</a>57  </li>58  </ul>59  <h3> 2015 </h3>60  <ul>61  <li><em>Polyhedral AST generation is more than scanning polyhedra</em><br />62  Tobias Grosser, Sven Verdoolaege, Albert Cohen<br />63   ACM Transactions on Programming Languages and Systems (TOPLAS), 37(4), July64   2015<br />65  <a href="https://www.grosser.es#pub-polyhedral-AST-generation">Paper</a>66  </li>67  <li><em>On recovering multi-dimensional arrays in Polly</em><br />68  Tobias Grosser, Sebastian Pop, J. Ramanujam, P. Sadayappan <br />69  Impact2015 at HiPEAC, Amsterdam, The Netherlands<br />70  Slides & Paper: <a href="http://impact.gforge.inria.fr/impact2015/">Impact 2015</a>71  </li>72  <li><em>Polly's polyhedral scheduling in the presence of reductions </em><br />73  Johannes Doerfert, Kevin Streit, Sebastian Hack, Zino Benaissa<br />74  Impact2015 at HiPEAC, Amsterdam, The Netherlands<br />75  Slides & Paper: <a href="http://impact.gforge.inria.fr/impact2015/">Impact 2015</a>76  </li>77  </ul>78  <h3> 2014 </h3>79  <ul>80  <li><em>81  Lattice QCD Optimization and Polytopic Representations of Distributed Memory </em><br />82  Michael Kruse<br />83  Doctoral Thesis,  Ecole doctorale Informatique de Paris-Sud<br />84  <a href="https://www.theses.fr/2014PA112198">Thesis</a>85  </li>86  </ul>87  <h3> 2012 </h3>88  <ul>89  <li><em>KernelGen - a prototype of auto-parallelizing Fortran/C compiler for NVIDIA GPUs</em><br />90  Dmitry Mikushin, Nikolay Likhogrud, Hou Yunqing, Sergey Kovylov<br />91  Multi-core Workshop 2012, NCAR, Boulder, CO<br /><a92  href="publications/kernelgen-ncar-2012-slides.pdf">Slides</a>93  </li>94  <li><em>KernelGen - a toolchain for automatic GPU-centric applications porting</em><br />95  Nikolay Likhogrud, Dmitry Mikushin, Andrew Adinets<br />96  Parallel Computational Technologies (PCT) 2012, Novosibirsk<br /><a97  href="publications/kernelgen-pavt-2012-slides.pdf">Slides</a>98  </li>99  </ul>100  <h3> 2011 </h3>101  <ul>102  <li><em>Polly - First Successful Optimizations - How to proceed?</em><br />103  Tobias Grosser, Ragesh A<br />104  LLVM Developer Meeting 2011<br /><a105  href="https://llvm.org/devmtg/2011-11/Grosser_PollyOptimizations.pdf">Slides</a>, <a106  href="https://llvm.org/devmtg/2011-11/videos/Grosser_PollyOptimizations-desktop.mov">Video107  (Computer)</a>, <a108  href="https://llvm.org/devmtg/2011-11/videos/Grosser_PollyOptimizations-mobile.mp4">Video109  (Mobile)</a></li>110  <li><em>A Framework for Automatic OpenMP Code Generation</em><br />111  Raghesh A<br />112  Masters Thesis (May 2011)<br />113  <a114  href="publications/raghesh-a-masters-thesis.pdf">Thesis</a>115  </li>116  <li><em>Enabling Polyhedral Optimizations in LLVM</em><br />117  Tobias Grosser<br />118  Diploma Thesis (April 2011)<br />119  <a120  href="publications/grosser-diploma-thesis.pdf">Thesis</a>121  </li>122  <li><em>Polly - Polyhedral Optimization in LLVM</em><br />123  Tobias Grosser, Hongbin Zheng, Ragesh Aloor, Andreas Simb&uuml;rger, Armin124  Gr&ouml;&szlig;linger, Louis-No&euml;l Pouchet<br />125  IMPACT at CGO 2011 <br />126  <a127  href="publications/grosser-impact-2011.pdf">Paper</a>, <a128  href="publications/grosser-impact-2011-slides.pdf">Slides </a>129  </li>130  </ul>131  <h3> 2010 </h3>132  <ul>133  <li><em>Polly - Polyhedral Transformations for LLVM</em><br />134  Tobias Grosser, Hongbin Zheng<br />135  LLVM Developer Meeting 2010<br /><a136  href="https://llvm.org/devmtg/2010-11/Grosser-Polly.pdf">Slides</a>, <a137  href="https://llvm.org/devmtg/2010-11/videos/Grosser_Polly-desktop.mp4">Video138  (Computer)</a>, <a139  href="https://llvm.org/devmtg/2010-11/videos/Grosser_Polly-mobile.mp4">Video140  (Mobile)</a></li>141  </ul>142 143  <h2>Publications used within Polly</h2>144  <h3>Polyhedral library</h3>145  <ul>146  <li><em>isl: An Integer Set Library for the Polyhedral Model </em><br />147  Sven Verdoolaege<br />148  ICMS 2010149  </li>150  </ul>151  <h3>Optimization</h3>152  <ul>153  <li><em>A Practical Automatic Polyhedral Parallelizer and Locality Optimizer154          </em><br />155  Uday Bondhugula, Alberto Hartono, J. Ramanujam, P. Sadayappan<br />156  PLDI 2008157  </li>158  <li><em>Effective Automatic Parallelization and Locality Optimization using159          the Polyhedral Model160          </em><br />161  Uday Bondhugula<br />162  PhD thesis 2008163  </li>164  </ul>165  <h3>Code Generation</h3>166  <ul>167  <li><em>Code Generation in the Polyhedral Model Is Easier Than You Think</em>168  <br />169  C&eacute;dric Bastoul<br />170  PACT 2004171  </li>172  </ul>173  <h2>Interesting Publications</h2>174 175  Publications that are not yet used or implemented in Polly, but that are176  interesting to look at either to understand general concepts or to implement177  the corresponding ideas. This list is incomplete and papers are added as178  we hear about them.<br />179  <h3>GPGPU</h3>180  <ul>181  <li><em>Automatic C-to-CUDA Code Generation for Affine Programs</em>182  <br />183  Muthu Manikandan Baskaran, J. Ramanujam and P. Sadayappan<br />184  CC 2010185  </li>186  <li><em>Putting Automatic Polyhedral Compilation for GPGPU to Work<em>187  Soufiane Baghdadi, Armin Gr&ouml;&szlig;linger, and Albert Cohen. <br />188  In Proc. of Compilers for Parallel Computers (CPC), 2010.189  </li>190  </ul>191  <h3>Vectorization</h3>192  <ul>193  <li><em>Joint Scheduling and Layout Optimization to Enable Multi-Level194  Vectorization</em>195  <br />196  Nicolas Vasilache, Benoit Meister, Muthu Baskaran, Richard Lethin<br />197  IMPACT 2012 (upcoming)198  </li>199  </ul>200  <h3>Iterative Compilation</h3>201  <ul>202  <li><em>Iterative optimization in the polyhedral model: Part I,203  one-dimensional time.  </em>204  <br />205  Louis-No&euml;l Pouchet, C&eacute;dric Bastoul, Albert Cohen and Nicolas Vasilache<br />206  CGO 2007207  </li>208  <li><em>Iterative optimization in the polyhedral model: Part II,209  multidimensional time.  </em>210  <br />211  Louis-No&euml;l Pouchet, C&eacute;dric Bastoul, Albert Cohen and John Cavazos<br />212  PLDI 2008213  </li>214  </ul>215  <h3>Non-static Control</h3>216  <ul>217  <li><em>The Polyhedral Model Is More Widely Applicable Than You Think</em>218  <br />219  Mohamed-Walid Benabderrahmane, Louis-No&euml;l Pouchet, Albert Cohen,220  C&eacute;dric221  Bastoul.<br />222  CC 2010223  </li>224  </ul>225  <h3>Source to Source Tools</h3>226  <ul>227  <li><em> Polyhedral Extraction Tool</em>228  <br />229  Sven Verdoolaege, Tobias Grosser<br />230  IMPACT 2012231  </li>232  </ul>233</div>234</div>235</body>236</html>237