![]() ![]() If you don’t want to be connected, though, you don’t have to be. The engine even has access to the Wolfram Knowledgebase (with a free Basic subscription). Given how comprehensive the engine is, this is reasonably generous. In addition, work you do for a school or large company may already be covered by a site license. Naturally, Wolfram gets to decide what is production, although the actual license is pretty clear that non-commercial projects for personal use and approved open source projects can continue to use the free license. If you are going into production you need a license, although a free open source project can apply for a free license. The catch? It is only for preproduction use. As of this month, the company is allowing free use of the engine in software projects. One of the interesting things about all of Wolfram’s mathematics software is that it shares a common core engine - the Wolfram Engine. This allows you to get the interactivity of the front end while running the kernel on a remote CUDA machine.You’ve probably used Wolfram Alpha and maybe even used the company’s desktop software for high-powered math such as Mathematica. Unix users can use either SSH or X tunneling.Ī recommended alternative to VNC is to set up remote kernels. Users can use other protocols like VNC to perform remote computation. Using CUDALink over Remote DesktopĬUDALink will not work over the Windows Remote Desktop (RDP). On such systems, users can either disable the video card switching behavior, or use tools that allow the user to switch from the menu bar (search the web for "dual-GPU switch" followed by the operating system). Laptops that perform automatic video card switching (between an Intel and an NVIDIA card, for example) may interfere with CUDALink's initialization of the CUDA device. This will allow the operating system to run the CUDA card using the proper driver. On systems with multiple GPU devices, the NVIDIA driver must be installed last. If the compiler is not in a standard installation, then the "CompilerIntallation" option can be given to use the nondefault installation, as described in "Setting a Different Compiler". Supported C compilers are Microsoft Visual Studio on Windows and GCC on Linux.ĬUDALink requires a supported C compiler to be installed on the system: NVCC compiler requires a C compiler, the NVCC compiler will not be detected without a valid C compiler. Note that macOS is not supported by NVIDIA. Installation guides for Windows and Linux can be found here: The CUDA installation packages can be found on the CUDA Downloads Page. For convenience, NVIDIA includes a compatible CUDA driver with the toolkit. NVIDIA CUDA Toolkit and compatible CUDA driver is required for CUDALink to work. If you do not have supported hardware, you will not be able to fully use CUDALink. In addition, you should check that your operating system is supported. If you are not certain, you can see the list of hardware supported in the "GPU Hardware" section. You should confirm that you have GPU hardware supported by CUDA. ![]() It also discusses common setup problems and how to troubleshoot them. This section explains how CUDALink is set up and configured for your machine. ![]() CUDALink Compatibility With NVIDIA CUDA Toolkit ![]()
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