- #CHECK CUDA DRIVER VERSION MAC OS X#
- #CHECK CUDA DRIVER VERSION DRIVERS#
- #CHECK CUDA DRIVER VERSION WINDOWS#
Please contact EECS IT support for help getting the NVIDIA drivers installed on your system. Wmi 21636 6 dell_smbios,dell_wmi_descriptor,dell_led,dell_wmi,mxm_wmi,nouveau On systems with Nouveau you will see something similar to this: In the above example, the “nvidia” driver is installed. Ipmi_msghandler 56728 2 ipmi_devintf,nvidia Nvidia 20390418 253 nvidia_modeset,nvidia_uvm Jruser:hydra9 ~> lsmod | grep -E "nvidia|nouveau" To check what driver is installed on your system, you can use the lsmod command to list the currently running kernel modeles (drivers): To enable CUDA, the commercial NVIDIA driver needs to be installed. However, while this driver supports display capabilities, it does not support CUDA programming. Red Hat Linux ships with the open-source Nouveau driver for NVIDA video cards. If your system has a CUDA-capable GPU but you are currently unable to use the CUDA toolkit, the NVIDIA driver will likely need to be installed or updated.
#CHECK CUDA DRIVER VERSION MAC OS X#
Mac OS X support was later added in version 2.0, which supersedes the beta released February 14, 2008.
#CHECK CUDA DRIVER VERSION WINDOWS#
The initial CUDA SDK was made public on 15 February 2007, for Microsoft Windows and Linux. This toolkit should also match the CUDA version in your chosen driver, Fermi cant go above 390. Result = PASS Will you enable CUDA on my desktop Red Hat Enterprise Linux system? CUDA provides both a low level API (CUDA Driver API, non single-source) and a higher level API (CUDA Runtime API, single-source). Checking computed result for correctness: Result PASS. Supports MultiDevice Co-op Kernel Launch: Noĭevice PCI Domain ID / Bus ID / location ID: 0 / 1 / 0ĭeviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.2, CUDA Runtime Version = 10.2, NumDevs = 1 Support host page-locked memory mapping: Yesĭevice supports Unified Addressing (UVA): Yes
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)Ĭoncurrent copy and kernel execution: Yes with 1 copy engine(s) Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Maximum number of threads per block: 1024 Maximum number of threads per multiprocessor: 2048 Total number of registers available per block: 65536 Total amount of shared memory per block: 49152 bytes Total amount of constant memory: 65536 bytes Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers ( 3) Multiprocessors, (128) CUDA Cores/MP: 384 CUDA Cores Total amount of global memory: 4036 MBytes (4231725056 bytes) usr/local/cuda/samples/bin/x86_64/linux/release/deviceQuery Starting.ĬUDA Device Query (Runtime API) version (CUDART static linking)ĬUDA Driver Version / Runtime Version 10.2 / 10.2ĬUDA Capability Major/Minor version number: 5.0 Jruser:hydra9 ~> /usr/local/cuda/samples/bin/x86_64/linux/release/deviceQuery If you have determined that your system includes CUDA-capable GPU, you can use the deviceQuery command to find out more about such as its “CUDA Capability” version, number of CUDA cores, etc :
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