- Ubuntu 18.04 cuda programming install#
- Ubuntu 18.04 cuda programming drivers#
- Ubuntu 18.04 cuda programming download#
Ubuntu 18.04 cuda programming download#
Switch to download directory cd Downloads, then follow the following operations,
Ubuntu 18.04 cuda programming install#
| 0 GeForce GTX 760 Off | 00000000:02:00.Cd /usr/local/cuda/samples/1_Utilities/ deviceQueryĥ, install the Cudnn 7.6.5 version, go to Official website downloadLet's register first before downloading, fill a questionnaire, select the package according to your own environment and architecture, download to the local | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. Then install the graphics driver: sudo apt install nvidia-driver-396Īfter a reboot, you can run nvidia-smi to see if it is installed: nvidia-smi In a terminal window, type in: sudo apt-add-repository ppa:graphics-drivers/ppa
Ubuntu 18.04 cuda programming drivers#
To install the NVIDIA graphics drivers in 18.04LTS, follow the steps below: ) Success ĬlCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) No platformĬlCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platformĬlCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) No platformĬlCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platformĬlCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) Invalid device type for platformĬlCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) No platform ) NVIDIA CUDAĬlGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL. Max size of kernel argument 4352 (4.25KiB)Ĭoncurrent copy and kernel execution (NV) Yesĭevice Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts cl_nv_create_bufferĬlGetPlatformInfo(NULL, CL_PLATFORM_NAME. Max 1D or 2D image array size 2048 images Max size for 1D images from buffer 134217728 pixels Minimum alignment for any data type 128 bytesĪlignment of base address 4096 bits (512 bytes)
Single-precision Floating-point support (core)Ĭorrectly-rounded divide and sqrt operations Yesĭouble-precision Floating-point support (cl_khr_fp64) Half-precision Floating-point support (n/a) Platform Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts cl_nv_create_buffer Then you should get something similar to the following: clinfo Just install clinfo and run it to see: sudo apt install clinfo The toolkit also installs the necessary drivers and support for OpenCL. You should see something similar to this: nvcc -VĬopyright (c) 2005-2017 NVIDIA CorporationĬuda compilation tools, release 9.1, V9.1.85
Run the following from a terminal window: sudo apt install nvidia-cuda-toolkitĪfter it is installed run nvcc -V to confirm. It looks as though the CUDA 9.1 is actually in the official 18.04 repositories now.
0 kommentar(er)
