How do I install the NVIDIA CUDA toolkit on 18.04 with Coffee Lake - is it supported?
I love the install of 18.04 and I also work with blender3d a great deal. I need the CUDA toolkit in order to render with my GPU instead of my CPU.
I have read that it's critical that I get the right toolkit or could have some pretty bad issues. Just want to confirm that it is available for Ubuntu 18.04.
Also, where to get it and confirm its the right one?
Thank you
2 Answers
It looks as though the CUDA 9.1 is actually in the official 18.04 repositories now. Run the following from a terminal window:
sudo apt install nvidia-cuda-toolkit After it is installed run nvcc -V to confirm. You should see something similar to this:
terrance@terrance-ubuntu:~$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Nov__3_21:07:56_CDT_2017
Cuda compilation tools, release 9.1, V9.1.85The toolkit also installs the necessary drivers and support for OpenCL. Just install clinfo and run it to see:
sudo apt install clinfoThen you should get something similar to the following:
terrance@terrance-ubuntu:~$ clinfo
Number of platforms 1 Platform Name NVIDIA CUDA Platform Vendor NVIDIA Corporation Platform Version OpenCL 1.2 CUDA 9.2.101 Platform Profile FULL_PROFILE 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 Platform Extensions function suffix NV Platform Name NVIDIA CUDA
Number of devices 1 Device Name GeForce GTX 760 Device Vendor NVIDIA Corporation Device Vendor ID 0x10de Device Version OpenCL 1.2 CUDA Driver Version 396.24 Device OpenCL C Version OpenCL C 1.2 Device Type GPU Device Topology (NV) PCI-E, 02:00.0 Device Profile FULL_PROFILE Device Available Yes Compiler Available Yes Linker Available Yes Max compute units 6 Max clock frequency 1032MHz Compute Capability (NV) 3.0 Device Partition (core) Max number of sub-devices 1 Supported partition types None Max work item dimensions 3 Max work item sizes 1024x1024x64 Max work group size 1024 Preferred work group size multiple 32 Warp size (NV) 32 Preferred / native vector sizes char 1 / 1 short 1 / 1 int 1 / 1 long 1 / 1 half 0 / 0 (n/a) float 1 / 1 double 1 / 1 (cl_khr_fp64) Half-precision Floating-point support (n/a) Single-precision Floating-point support (core) Denormals Yes Infinity and NANs Yes Round to nearest Yes Round to zero Yes Round to infinity Yes IEEE754-2008 fused multiply-add Yes Support is emulated in software No Correctly-rounded divide and sqrt operations Yes Double-precision Floating-point support (cl_khr_fp64) Denormals Yes Infinity and NANs Yes Round to nearest Yes Round to zero Yes Round to infinity Yes IEEE754-2008 fused multiply-add Yes Support is emulated in software No Address bits 64, Little-Endian Global memory size 2095710208 (1.952GiB) Error Correction support No Max memory allocation 523927552 (499.7MiB) Unified memory for Host and Device No Integrated memory (NV) No Minimum alignment for any data type 128 bytes Alignment of base address 4096 bits (512 bytes) Global Memory cache type Read/Write Global Memory cache size 98304 (96KiB) Global Memory cache line size 128 bytes Image support Yes Max number of samplers per kernel 32 Max size for 1D images from buffer 134217728 pixels Max 1D or 2D image array size 2048 images Max 2D image size 16384x16384 pixels Max 3D image size 4096x4096x4096 pixels Max number of read image args 256 Max number of write image args 16 Local memory type Local Local memory size 49152 (48KiB) Registers per block (NV) 65536 Max number of constant args 9 Max constant buffer size 65536 (64KiB) Max size of kernel argument 4352 (4.25KiB) Queue properties Out-of-order execution Yes Profiling Yes Prefer user sync for interop No Profiling timer resolution 1000ns Execution capabilities Run OpenCL kernels Yes Run native kernels No Kernel execution timeout (NV) Yes Concurrent copy and kernel execution (NV) Yes Number of async copy engines 1 printf() buffer size 1048576 (1024KiB) Built-in kernels Device 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
NULL platform behavior clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) NVIDIA CUDA clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [NV] clCreateContext(NULL, ...) [default] Success [NV] clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) No platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) No platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) Invalid device type for platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) No platform
ICD loader properties ICD loader Name OpenCL ICD Loader ICD loader Vendor OCL Icd free software ICD loader Version 2.2.11 ICD loader Profile OpenCL 2.1To install the NVIDIA graphics drivers in 18.04LTS, follow the steps below:
In a terminal window, type in:
sudo apt-add-repository ppa:graphics-drivers/ppaThen run the update:
sudo apt updateThen install the graphics driver:
sudo apt install nvidia-driver-396After a reboot, you can run nvidia-smi to see if it is installed:
terrance@terrance-ubuntu:~$ nvidia-smi
Wed May 2 22:38:14 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 396.24 Driver Version: 396.24 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 760 Off | 00000000:02:00.0 N/A | N/A |
| 49% 51C P0 N/A / N/A | 262MiB / 1998MiB | N/A Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+Hope this helps!
11I managed to install CUDA on my laptop but was stuck as you are until I ran into the gcc-6 issue. So, to summarize:
- Instal the nvidia proprietary driver;
- Install nvidia-settings, nvidia-prime, and nvidia-cuda-toolkit from the Ubuntu repository.
- Check that CUDA is installed in the terminal with the "nvcc --version" and/or "nvidia-smi" commands.
- Finally, if you can't see CUDA, you must make sure that you are using gcc-6 instead of gcc-7 or above. I found the solution in this thread and it works.
1) install gcc-6, g++-6 (CUDA requires gcc-6 !) 2) In /usr/bin as root, remove or rename gcc, gcc-ar, gcc-nm, gcc-ranlib, and g++ (if it exists), then ln -s gcc-6 gcc; ln -s gcc-ar-6 gcc-ar; ln -s gcc-nm-6 gcc-nm; ln -s gcc-ranlib-6 gcc-ranlib; and ln -s g++-6 g++
