![]() The guide to building CUDA applications for GPUs based on the NVIDIA Volta Architecture. Fixes uncommon failures when using device-side lambdas.Volta Compatibility Guide for CUDA Applications Programmatic Dependent Launch may now be described natively in CUDA Graphs.Īllows a dependency on scheduling, but not completion, of all blocks in a kernel, enabling tighter control of scheduling.Īdded a CUDA API to query whether or not MPS is running.Īdded a driver API to return the name of a kernel function.Īdded an API to libnvJitLink to return the nvJitLink version.Īdded support for reading kernel parameters in device functions.Įnable querying the return type of _device_ lambdas with trailing return type. Graph edge data, allowing modified dependencies between nodes. It is no longer necessary to uninstall multiple components of the CUDA Toolkit individually to upgrade or uninstall CUDA. Additionally, makes the behavior equivalent between Linux and Windows. Lazy loading default enablement for Windows:īrings the significant memory savings and load-time reductions of lazy loading to Windows by default. See for information on how to use obfuscated symbols. ![]() General CUDA New Features ĬUDA User Mode Driver, CUDA Runtime libraries and CUBLAS now come with obfuscated symbol names and with frame pointers enabled.įrame Pointers are enabled for other libraries in the CUDA Toolkit: NVIDIA Management Library, CUDA Profiling Tools Interface, cuBLAS, Compiler libraries – NVRTC, PTXJIT compiler, nvJitLink, and libnvvm.Īllows better runtime visibility and traceability, and allows easier exchange of runtime information with NVIDIA when needed for debugging purposes. This section lists new general CUDA and CUDA compilers features. ĭuring the installation of the CUDA Toolkit, the installation of the NVIDIA driver may be skipped on Windows (when using the interactive or silent installation) or on Linux (by using meta packages).įor more information on customizing the install process on Windows, see. Note that this driver is for development purposes and is not recommended for use in production with Tesla GPUs.įor running CUDA applications in production with Tesla GPUs, it is recommended to download the latest driver for Tesla GPUs from the NVIDIA driver downloads site at. Table 3 CUDA Toolkit and Corresponding Driver Versions ĬUDA 10.1 (10.1.105 general release, and updates)įor convenience, the NVIDIA driver is installed as part of the CUDA Toolkit installation. The version of the development NVIDIA GPU Driver packaged in each CUDA Toolkit release is shown below. ** CUDA 11.0 was released with an earlier driver version, but by upgrading to Tesla Recommended Drivers 450.80.02 (Linux) / 452.39 (Windows), minor version compatibility is possible across the CUDA 11.x family of toolkits. * Using a Minimum Required Version that is different from Toolkit Driver Version could be allowed in compatibility mode – please read the CUDA Compatibility Guide for details. Minimum Required Driver Version for CUDA Minor Version Compatibility* CUDA minor version compatibility is described in detail in Table 2 CUDA Toolkit and Minimum Required Driver Version for CUDA Minor Version Compatibility The minimum required driver version for CUDA minor version compatibility is shown below. ![]() Note: Starting with CUDA 11.0, the toolkit components are individually versioned, and the toolkit itself is versioned as shown in the table below. More information on compatibility can be found at. The CUDA driver is backward compatible, meaning that applications compiled against a particular version of the CUDA will continue to work on subsequent (later) driver releases. Įach release of the CUDA Toolkit requires a minimum version of the CUDA driver. For more information various GPU products that are CUDA capable, visit. Running a CUDA application requires the system with at least one CUDA capable GPU and a driver that is compatible with the CUDA Toolkit. Starting with CUDA 11, the various components in the toolkit are versioned independently.įor CUDA 12.3 Update 2, the table below indicates the versions: Table 1 CUDA 12.3 Update 2 Component Versions CUDA Toolkit Major Component Versions CUDA Components The release notes have been reorganized into two major sections: the general CUDA release notes, and the CUDA libraries release notes including historical information for 12.x releases.
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