Dec 29, 2021 · If the compute capability is 2.x it is Fermi, 3.x it is Kepler. If a Fermi device, just stay with CUDA 8.0. If a Kepler device, based on the compute capability you could upgrade your CUDA install to a newer version.

Dec 30, 2024 · Hi, we tried running an application compiled with 12.6 cuda toolkit (toolkit driver version 560.35.05) on a handful of machines with different GPUs, but the same driver version 535.183.01.

May 27, 2024 · General discussion area for algorithms, optimizations, and approaches to GPU Computing with CUDA C, C++, Thrust, Fortran, Python (pyCUDA), etc.

Mar 6, 2024 · Is NVIDIA® GeForce RTX™ 2050 Laptop GPU 4 GB Support CUDA Toolkit? Also, which version of the CUDA Toolkit supports GeForce RTX 2050? AakankshaS March 14, 2024, 6:43am

Jan 23, 2017 · CUDA is a development toolchain for creating programs that can run on nVidia GPUs, as well as an API for controlling such programs from the CPU. The benefits of GPU programming vs. CPU programming is that for some highly parallelizable problems, you can gain massive speedups (about two orders of magnitude faster).

Oct 29, 2024 · I recently downloaded VS2022 and integrated the latest version of CUDA. However, I found that when I moved the CUDA program from VS2017 to VS2022, the runtime of the GPU portion of the program slowed down by more than two times. Both versions of Visual Studio are using the same version of CUDA. What could be the reasons for this issue?

Nov 27, 2024 · sudo bash cuda_12.4.1_550.54.15_linux.run Secure Boot not enabled on this system. modprobe: ERROR: could not insert 'nvidia_fs': Unknown symbol in module, or unknown parameter (see dmesg) Installation failed.

3 days ago · CUDA Programming and Performance General discussion area for algorithms, optimizations, and approaches to GPU Computing with CUDA C, C++, Thrust, Fortran, Python (pyCUDA), etc. CUDA on Windows Subsystem for Linux General discussion on WSL 2 using CUDA and containers.

$ nvidia-smi dmon -d 3 -s pcvumt # gpu pwr gtemp mtemp mclk pclk pviol tviol sm mem enc dec fb bar1 rxpci txpci # Idx W C C MHz MHz % bool % % % % MB MB MB/s MB/s 0 273 54 - 9501 2025 0 0 100 11 0 0 18943 75 5906 659 0 280 54 - 9501 2025 0 0 100 11 0 0 18943 75 7404 650 0 277 54 - 9501 2025 0 0 100 11 0 0 18943 75 7386 719 0 279 55 - 9501 2025 ...

Jun 11, 2015 · The CUDA driver relies on low-level functionality that certain components of the graphics driver provide. Strictly speaking, that low-level functionality could also be seen as components shared by the graphics driver proper and the CUDA driver, but in practical terms these components are distributed as part of the graphics driver package.