Multi-threaded Programming: Difference between revisions
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===[[Multithreaded|Technical specification/requirements]]=== |
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= Introduction = |
= Introduction = |
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Visual C++, GCC and Intel compilers. |
Visual C++, GCC and Intel compilers. |
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= Hosts to use = |
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UID Host name IP address |
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065 gks-212.scc.kit.edu 141.52.174.212 |
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066 gks-213.scc.kit.edu 141.52.174.213 |
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073 gks-214.scc.kit.edu 141.52.174.214 |
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074 gks-215.scc.kit.edu 141.52.174.215 |
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084 gks-216.scc.kit.edu 141.52.174.216 |
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085 gks-217.scc.kit.edu 141.52.174.217 |
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090 gks-218.scc.kit.edu 141.52.174.218 |
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094 gks-220.scc.kit.edu 141.52.174.220 |
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102 gks-221.scc.kit.edu 141.52.174.221 |
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109 gks-222.scc.kit.edu 141.52.174.222 |
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022 gks-223.scc.kit.edu 141.52.174.223 |
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117 gks-224.scc.kit.edu 141.52.174.224 |
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118 gks-225.scc.kit.edu 141.52.174.225 |
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127 gks-226.scc.kit.edu 141.52.174.226 |
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128 gks-227.scc.kit.edu 141.52.174.227 |
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132 gks-228.scc.kit.edu 141.52.174.228 |
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134 gks-229.scc.kit.edu 141.52.174.229 |
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137 gks-230.scc.kit.edu 141.52.174.230 |
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138 gks-231.scc.kit.edu 141.52.174.231 |
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139 gks-232.scc.kit.edu 141.52.174.232 |
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140 gks-233.scc.kit.edu 141.52.174.233 |
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= Tutorial Material = |
= Tutorial Material = |
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<p>http://hauth.web.cern.ch/hauth/mcore_introduction.pdf</p></li> |
<p>http://hauth.web.cern.ch/hauth/mcore_introduction.pdf</p></li> |
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<li><p>Source code</p> |
<li><p>Source code</p> |
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<p>http://hauth.web.cern.ch/hauth/ |
<p>http://hauth.web.cern.ch/hauth/GridKa_Multicore_2013.tar.gz</p> |
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Use: |
Use: |
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wget http://hauth.web.cern.ch/hauth/ |
wget http://hauth.web.cern.ch/hauth/GridKa_Multicore_2013.tar.gz |
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tar xzf |
tar xzf GridKa_Multicore_2013.tar.gz |
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to download and extract the source code on your GridKa maschine. |
to download and extract the source code on your GridKa maschine. |
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</li> |
</li> |
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</ul> |
</ul> |
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= Tips & Tricks = |
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Connect to the workshop machine using |
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ssh -p 24 <gks username>@<full machine address> |
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If you want to view the picture output of project3, run this command in the project3_taylor folder ( best in a second ssh connection ) |
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python -m SimpleHTTPServer 8080 |
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Now you can open this url in your regular browser (replace with your workshop machine): |
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= Reference Material = |
= Reference Material = |
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<ul> |
<ul> |
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<p>http://software.intel.com/sites/products/documentation/doclib/tbb_sa/help/index.htm#reference/reference.htm</p></li> |
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<li><p>Intel Threading Building Blocks - Tutorial</p> |
<li><p>Intel Threading Building Blocks - Tutorial</p> |
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<p>http://software.intel.com/sites/products/documentation/doclib/tbb_sa/help/index.htm#tbb_userguide/title.htm</p></li> |
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<p>http://threadingbuildingblocks.org/uploads/81/91/Latest%20Open%20Source%20Documentation/Tutorial.pdf</p></li> |
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<p>http://threadingbuildingblocks.org/uploads/81/91/Latest%20Open%20Source%20Documentation/Reference.pdf</p></li> |
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<li><p>Intel Threading Building Blocks - Design Patterns</p> |
<li><p>Intel Threading Building Blocks - Design Patterns</p> |
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<p>http:// |
<p>http://software.intel.com/sites/products/documentation/doclib/tbb_sa/help/tbb_userguide/Design_Patterns/Design_Patterns.htm</p></li> |
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<li><p>Intel Threading Building Blocks - General Documentation</p> |
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<p>http://software.intel.com/sites/products/documentation/doclib/tbb_sa/help/index.htm</p></li> |
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</ul> |
</ul> |
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Latest revision as of 16:53, 19 August 2013
Technical specification/requirements
Introduction
Intel Threading Building Blocks (TBB) is an open-source C++ library to support the development of mulit-threaded applications which can exploit the available processing cores in modern CPUs. Therefore, various contsructs to support parallelism in applications are provided by TBB. Low-level constructs are available to partition loops to run them distributed over many CPU cores. High-level constructs like a task scheduler and a graph-based execution model allow to express dependencies and relations between computing tasks and TBB can distribute these items among the available cores.
Furthermore, C++ classes are included that guarantee a thread-safe access to containers like lists and maps. Also explicit locking constructs like mutexes are available.
The TBB library supports the Windows, Mac OS and Linux operating systems and the Visual C++, GCC and Intel compilers.
Tutorial Material
Tasks
Slides
Source code
http://hauth.web.cern.ch/hauth/GridKa_Multicore_2013.tar.gz
Use:
wget http://hauth.web.cern.ch/hauth/GridKa_Multicore_2013.tar.gz tar xzf GridKa_Multicore_2013.tar.gz
to download and extract the source code on your GridKa maschine.
Tips & Tricks
Connect to the workshop machine using
ssh -p 24 <gks username>@<full machine address>
If you want to view the picture output of project3, run this command in the project3_taylor folder ( best in a second ssh connection )
python -m SimpleHTTPServer 8080
Now you can open this url in your regular browser (replace with your workshop machine):
http://gks-219.scc.kit.edu:8080/
Reference Material
Intel Threading Building Blocks - Online Reference
Intel Threading Building Blocks - Tutorial
Intel Threading Building Blocks - Design Patterns
Intel Threading Building Blocks - General Documentation
http://software.intel.com/sites/products/documentation/doclib/tbb_sa/help/index.htm
