Difference between revisions of "Getting Started"

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* Get the Sniper source code from our [[Download]] page
 
* Get the Sniper source code from our [[Download]] page
  
* Download the latest Pin kit from the [http://www.pintool.org/downloads.html Pin downloads] page
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* Download a Pin kit from the [http://www.pintool.org/downloads.html Pin downloads] page
 +
** Do not use any (new) version that uses PinCRT. Currently the (older) revision 71313 is still available which is known to work with Sniper
 
** Extract Pin into sniper/pin_kit
 
** Extract Pin into sniper/pin_kit
 
** Or set PIN_HOME to the location of Pin if you use a different directory or shared Pin location
 
** Or set PIN_HOME to the location of Pin if you use a different directory or shared Pin location
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* GCC 4.3 or higher
 
* GCC 4.3 or higher
* A recent Pin version (for example, [http://www.pintool.org/ 2.11-49306] or newer)
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* A recent Pin version (for example, [http://www.pintool.org/ 2.14-71313] or newer)
 
* Boost 1.38+
 
* Boost 1.38+
 
* Linux 2.6.22+
 
* Linux 2.6.22+

Revision as of 10:06, 7 April 2016

  • Get the Sniper source code from our Download page
  • Download a Pin kit from the Pin downloads page
    • Do not use any (new) version that uses PinCRT. Currently the (older) revision 71313 is still available which is known to work with Sniper
    • Extract Pin into sniper/pin_kit
    • Or set PIN_HOME to the location of Pin if you use a different directory or shared Pin location
  • Optional: Set target architecture
    • export SNIPER_TARGET_ARCH=ia32 # default: intel64 (or update Makefile.config)
    • sudo apt-get install libc6-dev-i386 g++-4.4-multilib lib32z1-dev # install 32-bit libraries if running 64-bit OS (Ubuntu in this case) and the g++ multilib version depends on the g++ version that you are using
  • Compile Sniper. Some extra dependencies (a pre-compiled copy of the Python interpreter environment) will be downloaded automatically, so make sure you have a working internet connection when you make Sniper for the first time
    • make # or use 'make -j N' where N is the number of cores in your machine to use parallel make
  • Running an application
    • cd test/fft; make run

Next steps

Prerequisites

  • GCC 4.3 or higher
  • A recent Pin version (for example, 2.14-71313 or newer)
  • Boost 1.38+
  • Linux 2.6.22+