To verify that everything is working correctly, load some sample data, perform an omnisql query, and generate a pointmap using Immerse. When prompted, paste your license key in the text box and click Apply.Connect to Immerse using a web browser connected to your host machine on.If you have not received your license key, contact your Sales Representative Copy your license key from the registration email message.Validate your OmniSci instance with your license key. Ignore it for now you can verify CUDA driver installation at the Checkpoint. You might see a warning similar to the following: Reboot your system to ensure that all changes are active.Install the rpm file sudo rpm -install vulkan-filesystem-1.1.73. If installing on RHEL, you need to obtain and install the Install CUDA per the instructions on the NVIDIA website.Version ( 7), and installer type (OmniSci recommends rpm (network)). Select the target platform by selecting the operating system ( Linux),Īrchitecture (based on your environment), distribution ( CentOS or RHEL),.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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