Post date: 2015/04/26 6:43:00
cuda7.0が出たが，GT240の最新版ドライバがR340のため，cuda6.5をインストール
$ sudo service stop lightdm $ sudo init 3 $ sudo apt-get --purge remove nvidia-* $ sudo apt-get --purge remove cuda-* $ sudo sh ./cuda_6.5.14_linux_64.run $ ./startx $ cat /proc/driver/nvidia/version NVRM version: NVIDIA UNIX x86_64 Kernel Module 340.29 Thu Jul 31 20:23:19 PDT 2014 GCC version: gcc version 4.8.2 (Ubuntu 4.8.2-19ubuntu1) $ sudo reboot $ cd ~/NVIDIA_CUDA-6.5_Samples/1_Utilities/deviceQuery $ make $ ./deviceQuery ./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "GeForce GT 240" CUDA Driver Version / Runtime Version 6.5 / 6.5 CUDA Capability Major/Minor version number: 1.2 Total amount of global memory: 512 MBytes (536543232 bytes) (12) Multiprocessors, ( 8) CUDA Cores/MP: 96 CUDA Cores GPU Clock rate: 1340 MHz (1.34 GHz) Memory Clock rate: 1700 Mhz Memory Bus Width: 128-bit Maximum Texture Dimension Size (x,y,z) 1D=(8192), 2D=(65536, 32768), 3D=(2048, 2048, 2048) Maximum Layered 1D Texture Size, (num) layers 1D=(8192), 512 layers Maximum Layered 2D Texture Size, (num) layers 2D=(8192, 8192), 512 layers Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 16384 bytes Total number of registers available per block: 16384 Warp size: 32 Maximum number of threads per multiprocessor: 1024 Maximum number of threads per block: 512 Max dimension size of a thread block (x,y,z): (512, 512, 64) Max dimension size of a grid size (x,y,z): (65535, 65535, 1) Maximum memory pitch: 2147483647 bytes Texture alignment: 256 bytes Concurrent copy and kernel execution: Yes with 1 copy engine(s) Run time limit on kernels: Yes Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Disabled Device supports Unified Addressing (UVA): No Device PCI Bus ID / PCI location ID: 1 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 6.5, CUDA Runtime Version = 6.5, NumDevs = 1, Device0 = GeForce GT 240 Result = PASS 注意点: