Use the name of the kernel ( 3.10.0-862.11.6.el7.x86_64 in the following code example) to install kernel headers and development packages:.Identify the Linux kernel you are using by issuing the uname -r command.If this procedure to install kernel headers does not work correctly, follow these steps instead: Reboot your system to ensure that the kernel is up to date:.Sudo yum install kernel-devel-$(uname -r) kernel-headers-$(uname -r) Install kernel headers and development packages:.For more information on CUDA unrelated to installing OmniSci, see. The CUDA platform provides direct access to the GPU virtual instruction set and parallel computation elements. It uses a CUDA-enabled graphics processing unit (GPU) for general purpose processing. CUDA is a parallel computing platform and application programming interface (API) model.
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