[www] r223466 - Add slide/posters.

Tanya Lattner tonic at nondot.org
Fri Dec 5 06:52:11 PST 2014


Author: tbrethou
Date: Fri Dec  5 08:52:11 2014
New Revision: 223466

URL: http://llvm.org/viewvc/llvm-project?rev=223466&view=rev
Log:
Add slide/posters.

Added:
    www/trunk/devmtg/2014-10/Slides/Cook-mageecPoster.pdf   (with props)
    www/trunk/devmtg/2014-10/Slides/Majnemer-FuzzingClang.pdf   (with props)
Modified:
    www/trunk/devmtg/2014-10/index.html

Added: www/trunk/devmtg/2014-10/Slides/Cook-mageecPoster.pdf
URL: http://llvm.org/viewvc/llvm-project/www/trunk/devmtg/2014-10/Slides/Cook-mageecPoster.pdf?rev=223466&view=auto
==============================================================================
Binary file - no diff available.

Propchange: www/trunk/devmtg/2014-10/Slides/Cook-mageecPoster.pdf
------------------------------------------------------------------------------
    svn:mime-type = application/octet-stream

Added: www/trunk/devmtg/2014-10/Slides/Majnemer-FuzzingClang.pdf
URL: http://llvm.org/viewvc/llvm-project/www/trunk/devmtg/2014-10/Slides/Majnemer-FuzzingClang.pdf?rev=223466&view=auto
==============================================================================
Binary file - no diff available.

Propchange: www/trunk/devmtg/2014-10/Slides/Majnemer-FuzzingClang.pdf
------------------------------------------------------------------------------
    svn:mime-type = application/octet-stream

Modified: www/trunk/devmtg/2014-10/index.html
URL: http://llvm.org/viewvc/llvm-project/www/trunk/devmtg/2014-10/index.html?rev=223466&r1=223465&r2=223466&view=diff
==============================================================================
--- www/trunk/devmtg/2014-10/index.html (original)
+++ www/trunk/devmtg/2014-10/index.html Fri Dec  5 08:52:11 2014
@@ -138,7 +138,7 @@ Skip the FFI: Embedding Clang for C Inte
  
 <tr><td><a href="Slides/Prashanth-DLO.pdf">Slides</a><br><a href="Videos/Implementing Data Layout Optimizations in LLVM Framework-720.mov">Video</a> (Computer)<br><a href="Videos/Implementing Data Layout Optimizations in LLVM Framework-360.mov">Video</a> (Mobile)</td><td><b><a href="#talk14">Implementing Data Layout Optimizations in LLVM Framework</a></b><br>Prashantha NR, <i>Compiler Tree Technologies</i></td></tr>
 
-<tr><td>Slides<br><a href="Videos/Fuzzing Clang to Find ABI Bugs-720.mov">Video</a> (Computer)<br><a href="Videos/Fuzzing Clang to Find ABI Bugs-360.mov">Video</a> (Mobile)</td><td><b><a href="#talk15">Fuzzing Clang to Find ABI Bugs</a></b><br>David Majnemer, <i>Google</i></td></tr>
+<tr><td><a href="Slides/Majnemer-FuzzingClang.pdf">Slides</a><br><a href="Videos/Fuzzing Clang to Find ABI Bugs-720.mov">Video</a> (Computer)<br><a href="Videos/Fuzzing Clang to Find ABI Bugs-360.mov">Video</a> (Mobile)</td><td><b><a href="#talk15">Fuzzing Clang to Find ABI Bugs</a></b><br>David Majnemer, <i>Google</i></td></tr>
 <tr><td><a href="Slides/Scheller-ARMCodeQuality.pdf">Slides</a><br><a href="Videos/A Closer Look at ARM code Quality-720.mov">Video</a> (Computer)<br><a href="Videos/A Closer Look at ARM code Quality-360.mov">Video</a> (Mobile)</td><td><b><a href="#talk16">A closer look at ARM code quality</a></b><br>Tilmann Scheller, <i>Samsung Electronics</i></td></tr>
   
 
@@ -322,7 +322,7 @@ Modern server workloads are limited by m
 <b><a id="talk15">Fuzzing Clang to Find ABI Bugs
 </a></b><br>
 <i>David Majnemer - Google</i><br>
-Slides<br>
+<a href="Slides/Majnemer-FuzzingClang.pdf">Slides</a><br>
 <a href="Videos/Fuzzing Clang to Find ABI Bugs-720.mov">Video</a> (Computer) 
 <a href="Videos/Fuzzing Clang to Find ABI Bugs-360.mov">Video</a> (Mobile)
 <br>
@@ -676,7 +676,7 @@ SWViz is a tool to explore the call grap
 <b>Machine Guided Compilation and Compiling to Minimize Energy Usage
 </b><br>
 <i>Simon Cook - Embecosm, Ed Jones - Embecosm</i><br>
-Poster<br>
+<a href="Slides/Cook-mageecPoster.pdf">Poster</a><br>
 Today we need compilers to optimize for energy rather than just size or speed. In this poster we present the results of integrating machine learning with LLVM, so the compiler can be trained on which optimizations minimize energy. As a side effect of energy optimization we also see significant performance benefits - nearly doubling performance compared to -O3 in some cases.
 </p>
 





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