message: cagpubuild readme updated
diff: @@ -12,15 +12,12 @@ Therefore to use the GPU tracker the following steps are needed:
  How to build the library AliHLTTPCCAGPU:
  The library is not build automatically by the AliROOT or HLT standalone build
  -The script cagpubuild.sh can be used the library
  -As the ROOT CINT interpreter is unable to process the CUDA file directly, preprocessed CINT files are distributed with the build script
  -These files must be modified manually if the class structure of the GPU tracker is changed
  -The Variables ROOTSYS AND ALICE_ROOT must be set for the script to operate
  -Because of an incompatibility between CUDA and GCC a patch is applied to an intermediate file. The patch is contained in AliHLTTPCCAGPUTrackerNVCC.cu.x86_64-pc-linux-gnu.patch
  -The script builds the library and stores the shared object file in the current directory
  +It can be found at via svn at https://qon.zapto.org/var/svn/catracker/catracker/standalone/cagpubuild
  +The Variables ROOTSYS AND ALIHLT_TOPDIR must be set for the makefile to work, the cuda compiler nvcc must be present in the PATH variable
  +The makefile builds the library and stores the shared object file in the current directory
  -To run the script the following is needed:
  -- Place the script in a directory together with the preprocessed CINT files G__AliHLTTPCCAGPU.cxx/h and the patch file AliHLTTPCCAGPUTrackerNVCC.cu.x86_64-pc-linux-gnu.patch
  -- Make sure the environment variables ALICE_ROOT and ROOTSYS are set
  -- The CUDA compiler must be installed in /usr/local/cuda and available in the PATH variable
  -- execute cagpubuild.sh
  +To build the library the following is needed
  +- Checkout the library from svn
  +- Make sure the environment variables ALIHLT_TOPDIR and ROOTSYS are set
  +- The CUDA compiler must be installed in /usr/local/cuda and available in the PATH variable (you can change the path in the makefile)
  +- run make
  