These cores have shared resources including a register file and a shared memory. The on-chip shared memory allows parallel tasks running on these cores to share data without sending it over the system memory bus. To use NVIDIA CUDA on your system, you will need the following installed:Ī supported version of Linux with a gcc compiler and toolchain This guide will show you how to install and check the correct operation of the CUDA development tools. The CUDA development environment relies on tight integration with the host development environment, including the host compiler and C runtime libraries, and is therefore only supported on distribution versions that have been qualified for this CUDA Toolkit release. The following table lists the supported Linux distributions. Native Linux Distribution Support in CUDA 12.2 Please review the footnotes associated with the table.
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