developpement:activites:integration:cuda4jessie

Différences

Ci-dessous, les différences entre deux révisions de la page.

--- developpement:activites:integration:cuda4jessie [2015/11/17 15:12]
equemene
+++ developpement:activites:integration:cuda4jessie [2016/04/21 18:37]
equemene [Installation des composants Nvidia]
@@ Ligne 81: / Ligne 81: @@
 Les paquets créés sont les suivants :
 <code>
-libcuda1_352.55-3_amd64.deb
+libcuda1_355.11-2_amd64.deb
-libegl1-nvidia_352.55-3_amd64.deb
+libegl1-nvidia_355.11-2_amd64.deb
-libgl1-nvidia-glx_352.55-3_amd64.deb
+libegl-nvidia0_355.11-2_amd64.deb
-libgles1-nvidia_352.55-3_amd64.deb
+libgl1-nvidia-glx_355.11-2_amd64.deb
-libgles2-nvidia_352.55-3_amd64.deb
+libgles1-nvidia_355.11-2_amd64.deb
-libnvcuvid1_352.55-3_amd64.deb
+libgles2-nvidia_355.11-2_amd64.deb
-libnvidia-compiler_352.55-3_amd64.deb
+libglvnd-nvidia_355.11-2_amd64.deb
-libnvidia-eglcore_352.55-3_amd64.deb
+libnvcuvid1_355.11-2_amd64.deb
-libnvidia-encode1_352.55-3_amd64.deb
+libnvidia-compiler_355.11-2_amd64.deb
-libnvidia-fbc1_352.55-3_amd64.deb
+libnvidia-eglcore_355.11-2_amd64.deb
-libnvidia-ifr1_352.55-3_amd64.deb
+libnvidia-encode1_355.11-2_amd64.deb
-libnvidia-ml1_352.55-3_amd64.deb
+libnvidia-fbc1_355.11-2_amd64.deb
-nvidia-alternative_352.55-3_amd64.deb
+libnvidia-ifr1_355.11-2_amd64.deb
-nvidia-cuda-mps_352.55-3_amd64.deb
+libnvidia-ml1_355.11-2_amd64.deb
-nvidia-detect_352.55-3_amd64.deb
+nvidia-alternative_355.11-2_amd64.deb
-nvidia-driver_352.55-3_amd64.deb
+nvidia-cuda-mps_355.11-2_amd64.deb
-nvidia-driver-bin_352.55-3_amd64.deb
+nvidia-detect_355.11-2_amd64.deb
-nvidia-kernel-dkms_352.55-3_amd64.deb
+nvidia-driver_355.11-2_amd64.deb
-nvidia-kernel-source_352.55-3_amd64.deb
+nvidia-driver-bin_355.11-2_amd64.deb
-nvidia-kernel-support_352.55-3_amd64.deb
+nvidia-kernel-dkms_355.11-2_amd64.deb
-nvidia-libopencl1_352.55-3_amd64.deb
+nvidia-kernel-source_355.11-2_amd64.deb
-nvidia-opencl-common_352.55-3_amd64.deb
+nvidia-kernel-support_355.11-2_amd64.deb
-nvidia-opencl-icd_352.55-3_amd64.deb
+nvidia-legacy-check_355.11-2_amd64.deb
-nvidia-smi_352.55-3_amd64.deb
+nvidia-libopencl1_355.11-2_amd64.deb
-nvidia-vdpau-driver_352.55-3_amd64.deb
+nvidia-opencl-common_355.11-2_amd64.deb
-xserver-xorg-video-nvidia_352.55-3_amd64.deb
+nvidia-opencl-icd_355.11-2_amd64.deb
+nvidia-smi_355.11-2_amd64.deb
+nvidia-vdpau-driver_355.11-2_amd64.deb
+xserver-xorg-video-nvidia_355.11-2_amd64.deb
 </code>
@@ Ligne 119: / Ligne 122: @@
 Les paquets créés sont les suivants :
 <code>
-nvidia-modprobe_358.09-1_amd64.deb
+nvidia-modprobe_361.28-1_amd64.deb
 </code>
@@ Ligne 162: / Ligne 165: @@
 Les paquets créés sont les suivants :
 <code>
-nvidia-installer-cleanup_20151021+1_amd64.deb
+nvidia-installer-cleanup_20151021+4_amd64.deb
-nvidia-kernel-common_20151021+1_amd64.deb
+nvidia-kernel-common_20151021+4_amd64.deb
-nvidia-support_20151021+1_amd64.deb
+nvidia-support_20151021+4_amd64.deb
 </code>
@@ Ligne 183: / Ligne 186: @@
 dpkg -i nvidia-modprobe_*_amd64.deb
+dpkg -i nvidia-legacy-check-*_amd64.deb
 dpkg -i nvidia-alternative_*_amd64.deb
@@ Ligne 195: / Ligne 198: @@
 dpkg -i nvidia-kernel-dkms_*_amd64.deb
-ls -1 lib*352.55*deb | xargs -I '{}' dpkg -i '{}'
+ls -1 lib*$(dpkg -l | grep  nvidia-kernel-dkms | awk '{ print $3 }')*deb | xargs -I '{}' dpkg -i '{}'
 apt-get -f install
@@ Ligne 203: / Ligne 206: @@
 dpkg -i nvidia-vdpau-driver_*_amd64.deb nvidia-driver_*_amd64.deb nvidia-driver-bin_*_amd64.deb
-ls *352.55*deb  | grep -v ^lib | grep -v nvidia-kernel | grep -v libopencl | xargs -I '{}' dpkg -i '{}'
+ls *$(dpkg -l | grep  nvidia-kernel-dkms | awk '{ print $3 }')*deb  | grep -v ^lib | grep -v nvidia-kernel | grep -v libopencl | xargs -I '{}' dpkg -i '{}'
 dpkg -i nvidia-driver-bin_*deb nvidia-driver_*deb nvidia-xconfig* nvidia-settings* libxnvctrl* nvidia-smi_*
@@ Ligne 296: / Ligne 299: @@
 <code>
 cd /root/nvidia
-apt-get source -y pycuda
 apt-get -y build-dep pycuda
+apt-get -y install python-setuptools python3-setuptools
+wget http://snapshot.debian.org/archive/debian/20150710T034220Z/pool/contrib/p/pycuda/pycuda_2015.1.2-1.debian.tar.xz
+wget http://snapshot.debian.org/archive/debian/20150710T034220Z/pool/contrib/p/pycuda/pycuda_2015.1.2-1.dsc
+wget http://snapshot.debian.org/archive/debian/20150710T034220Z/pool/contrib/p/pycuda/pycuda_2015.1.2.orig.tar.xz
+tar Jxf pycuda_2015.1.2.orig.tar.xz
 cd pycuda-*/
+tar Jxf ../pycuda_2015.1.2-1.debian.tar.xz
 debuild
 cd ..
@@ Ligne 306: / Ligne 314: @@
 <code>
+python3-pycuda_2015.1.2-1_amd64.deb
+python3-pycuda-dbg_2015.1.2-1_amd64.deb
+python-pycuda_2015.1.2-1_amd64.deb
+python-pycuda-dbg_2015.1.2-1_amd64.deb
+python-pycuda-doc_2015.1.2-1_all.deb
 </code>
@@ Ligne 328: / Ligne 340: @@
 ==== Exécution des exemples ====
-<code>
+Sur une machine équipée de 3 cartes vidéo et 3 implémentations d'OpenCL pour CPU (AMD, Intel, PortableCL)
+<code>
 python /usr/share/doc/python-pyopencl-doc/examples/benchmark.py
 </code>
+<code>
+===============================================================
+Platform name: AMD Accelerated Parallel Processing
+Platform profile: FULL_PROFILE
+Platform vendor: Advanced Micro Devices, Inc.
+Platform version: OpenCL 2.0 AMD-APP (1800.11)
+---------------------------------------------------------------
+Device name: Fiji
+Device type: GPU
+Device memory:  4045 MB
+Device max clock speed: 1000 MHz
+Device compute units: 64
+Device max work group size: 256
+Device max work item sizes: [256, 256, 256]
+Data points: 8388608
+Workers: 256
+Preferred work group size multiple: 64
+Execution time of test: 0.00037168 s
+Results OK
+===============================================================
+Platform name: AMD Accelerated Parallel Processing
+Platform profile: FULL_PROFILE
+Platform vendor: Advanced Micro Devices, Inc.
+Platform version: OpenCL 2.0 AMD-APP (1800.11)
+---------------------------------------------------------------
+Device name: Intel(R) Xeon(R) CPU E5-2665 0 @ 2.40GHz
+Device type: CPU
+Device memory:  128966 MB
+Device max clock speed: 2309 MHz
+Device compute units: 32
+Device max work group size: 1024
+Device max work item sizes: [1024, 1024, 1024]
+Data points: 8388608
+Workers: 256
+Preferred work group size multiple: 1
+Execution time of test: 0.0192504 s
+Results OK
+===============================================================
+Platform name: Intel(R) OpenCL
+Platform profile: FULL_PROFILE
+Platform vendor: Intel(R) Corporation
+Platform version: OpenCL 1.2 LINUX
+---------------------------------------------------------------
+Device name:        Intel(R) Xeon(R) CPU E5-2665 0 @ 2.40GHz
+Device type: CPU
+Device memory:  128966 MB
+Device max clock speed: 2400 MHz
+Device compute units: 32
+Device max work group size: 8192
+Device max work item sizes: [8192, 8192, 8192]
+/usr/lib/python2.7/dist-packages/pyopencl/__init__.py:63: CompilerWarning: Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.
+  "to see more.", CompilerWarning)
+Data points: 8388608
+Workers: 256
+Preferred work group size multiple: 128
+Execution time of test: 0.00310517 s
+Results OK
+===============================================================
+Platform name: Portable Computing Language
+Platform profile: FULL_PROFILE
+Platform vendor: The pocl project
+Platform version: OpenCL 1.2 pocl 0.10
+---------------------------------------------------------------
+Device name: pthread-Intel(R) Xeon(R) CPU E5-2665 0 @ 2.40GHz
+Device type: CPU
+Device memory:  128966 MB
+Device max clock speed: 3100 MHz
+Device compute units: 32
+Device max work group size: 1024
+Device max work item sizes: [1024, 1024, 1024]
+Data points: 8388608
+Workers: 256
+Preferred work group size multiple: 8
+Execution time of test: 0.007638 s
+Results OK
+===============================================================
+Platform name: NVIDIA CUDA
+Platform profile: FULL_PROFILE
+Platform vendor: NVIDIA Corporation
+Platform version: OpenCL 1.2 CUDA 7.5.20
+---------------------------------------------------------------
+Device name: GeForce GTX 980 Ti
+Device type: GPU
+Device memory:  6143 MB
+Device max clock speed: 1190 MHz
+Device compute units: 22
+Device max work group size: 1024
+Device max work item sizes: [1024, 1024, 64]
+Data points: 8388608
+Workers: 256
+Preferred work group size multiple: 32
+Execution time of test: 0.000522592 s
+Results OK
+===============================================================
+Platform name: NVIDIA CUDA
+Platform profile: FULL_PROFILE
+Platform vendor: NVIDIA Corporation
+Platform version: OpenCL 1.2 CUDA 7.5.20
+---------------------------------------------------------------
+Device name: Quadro 600
+Device type: GPU
+Device memory:  1023 MB
+Device max clock speed: 1280 MHz
+Device compute units: 2
+Device max work group size: 1024
+Device max work item sizes: [1024, 1024, 64]
+Data points: 8388608
+Workers: 256
+Preferred work group size multiple: 32
+Execution time of test: 0.00468445 s
+Results OK
+</code>
-Vous aurez noté que l'installation préalable d'un SDK AMD a permis de disposer d'un support OpenCL sur le processeur.

developpement/activites/integration/cuda4jessie.txt · Dernière modification: 2016/04/21 19:10 par equemene

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