StarLab (GPU) old guide

Click here for the new guide!!!

To install CUDA you can try with the CUDA packages in the Ubuntu repositories.

If they fail, you have to download CUDA from ****

To locate the CUDA files you can try:

• locate cuda | grep nvcc
• locate cuda | grep include
• locate cuda | grep include | grep toolkit (for the SDK files of the new release)
• locate cuda | grep lib | grep cudaart

Sapporo

• in setup_sapporo.sh change

  export LD_LIBRARY_PATH=/usr/local/cuda-5.0/:/usr/local/cuda-5.0/samples/common/inc:/usr/include/boost/
  

  (installation of the binary drivers from the NVIDIA site) to

  export LD_LIBRARY_PATH=/usr/include/:/usr/lib/nvidia-cuda-toolkit/include/:/usr/include/boost/
  

  (ubuntu CUDA distro packages)

• in Makefile put the right path in NVCC := /usr/bin/nvcc and be sure to have the right paths in

  CUDAPATH    := /usr/include/
  #/usr/local/cuda-5.0
  CUDASDKPATH := /usr/lib/nvidia-cuda-toolkit/include/
  #/usr/local/cuda-5.0/samples/common/inc
  CUDAINCLUDE := -I$(CUDAPATH)/include -I$(CUDASDKPATH)
  # RE - added these path/includes (added to NVCCFLAGS and CXXFLAGS, too)
  BOOSTPATH := /usr/include/boost 
  BOOSTINCLUDE := -I$(BOOSTPATH)
  

  the commented path refers to the binary installation from the NVIDIA site.

• Launch bash ./setup_sapporo.sh and if you get

  host_evaluate_gravity.cu:3: fatal error: multithreading.h: No such file or directory
  

  puth multithreading.h in the sapporo folder and then in host_evaluate_gravity.cu change

  #include <multithreading.h>
  

  to

  #include "multithreading.h"
  

  so c++ can find the header in the current directory.

• if all is going right, by running again bash setup_sapporo.sh you should obtain something like ````bash /bin/rm -rf *.o .cu_o libsapporo.a /bin/rm -rf test_gravity_block test_gravity_N2ngb g++ -O3 -DNGB -I/usr/include//include -I/usr/lib/nvidia-cuda-toolkit/include/ -I/usr/include/boost -c -o GPUWorker.o GPUWorker.cc g++ -O3 -DNGB -I/usr/include//include -I/usr/lib/nvidia-cuda-toolkit/include/ -I/usr/include/boost -c sapporo.cpp -o sapporo.o sapporo.cpp: In member function ‘int sapporo::open(int)’: sapporo.cpp:40:25: warning: ignoring return value of ‘char fgets(char, int, FILE)’, declared with attribute warn_unused_result [-Wunused-result] sapporo.cpp:42:25: warning: ignoring return value of ‘char* fgets(char, int, FILE)’, declared with attribute warn_unused_result [-Wunused-result] sapporo.cpp:67:24: warning: ignoring return value of ‘char* fgets(char, int, FILE)’, declared with attribute warn_unused_result [-Wunused-result] g++ -O3 -DNGB -I/usr/include//include -I/usr/lib/nvidia-cuda-toolkit/include/ -I/usr/include/boost -c send_fetch_data.cpp -o send_fetch_data.o g++ -O3 -DNGB -I/usr/include//include -I/usr/lib/nvidia-cuda-toolkit/include/ -I/usr/include/boost -c sapporoG6lib.cpp -o sapporoG6lib.o

*/usr/bin/nvcc -O0 -g -D_DEBUG -maxrregcount=64 -I/usr/include//include -I/usr/lib/nvidia-cuda-toolkit/include/ -I/usr/include/boost -c host_evaluate_gravity.cu -o host_evaluate_gravity.cu_o Iar qv libsapporo.a GPUWorker.o sapporo.o send_fetch_data.o sapporoG6lib.o host_evaluate_gravity.cu_o ar: creating libsapporo.a a - GPUWorker.o a - sapporo.o a - send_fetch_data.o a - sapporoG6lib.o a - host_evaluate_gravity.cu_o ranlib libsapporo.a

* to test the compilation run 
````bash 
test_gravity_N2ngb 900

and

test_gravity_block 900

where 900 is the number of particles involved in the test. You can choose the number you prefer but the test fail if the number is less than ~800.

StarLab

• change configure CUDA lines: bash CUDAINC="-I/usr/include -I/usr/lib/nvidia-cuda-toolkit/include/ -I/usr/include/boost" CUDALIB="-L/usr/libx86_64-linux-gnu/ -lcudart" LIBS="$CUDAINC $CUDALIB -lboost_system -lboost_thread -lpthread -DNGB"
• and change local/grape.sh ````bash CUDAINC=“-I/usr/include -I/usr/lib/nvidia-cuda-toolkit/include/ -I/usr/include/boost” CUDALIB=“-L/usr/libx86_64-linux-gnu/ -lcudart”

CUDAINC=“-I/usr/local/cuda-5.0/include -I/usr/local/cuda-5.0/samples/common/inc -I/usr/include/boost”

CUDALIB=“-L/usr/local/cuda-5.0/lib64/ -lcudart”

LIBS1=“$CUDAINC $CUDALIB -lboost_system -lboost_thread -lpthread -DNGB”

#g++ -O3 $flags -g -o test_gravity_block test_gravity_block.cpp -L. -lsapporo $CUDAINC $CUDALIB -lboost_thread g++ -O3 $flags -g -o test_gravity_block test_gravity_block.cpp -L. -lsapporo $CUDAINC $CUDALIB $LIBS1

Where to find GRAPE libraries:

GRAPELDFLAGS=‘-L/home/mapelli/MICMAP/programmi/sapporo161_release/’

GRAPELDFLAGS=‘-L/home/ziosi/Code/Mapelli/starlab/sapporo/sapporo161_release’

* run `make clean`

* run `./configure --without-fortran` (`--without-f77`)

* `make`

* `make install`

* now you can find the `kira` binary in `/usr/local/bin` or`/usr/bin`

* run 
````bash
./kira -t 500 -d 1 -D 1 -b 1 \
             -n 10 -e 0.000 -B   \
	 <  cineca95_bin_N5000_frac01_W5_Z001_IC.txt \
	 > new_cineca95_bin_N5000_frac01_W5_Z001.txt \
	 2> ew_cineca95_bin_N5000_frac01_W5_Z001.txt