Host NUMA memory allocation: Allocate a CPU memory targeting a specific NUMA node using either the CUDA virtual memory management APIs or the CUDA stream-ordered memory allocator. To enable this feature on Windows, set the environment variable CUDA_MODULE_LOADING=LAZY before launch. Default enablement for Windows will happen in a future CUDA driver release. To disable this feature on Linux, set the environment variable CUDA_MODULE_LOADING=EAGER before launch. The Lazy Loading feature (introduced in CUDA 11.7) is now enabled by default on Linux with the 535 driver. The performance of programs not using HMM will not be affected. HMM is not yet fully optimized, and may perform slower than programs using cudaMalloc(), cudaMallocManaged(), or other existing CUDA memory management APIs. The fork() system call is not fully supported yet when attempting to share GPU-accessible memory between parent and child processes. HugeTLBfs pages are not yet supported on HMM (this is an uncommon scenario). GPU atomic operations on file-backed memory are not yet supported. HMM requires the use of NVIDIA’s GPU Open Kernel Modules driver.Īs this is the first release of HMM, some limitations exist: HMM is supported on Linux only and requires a recent kernel (6.1.24+ or 6.2.11+). This release introduces Heterogeneous Memory Management (HMM), allowing seamless sharing of data between host memory and accelerator devices. 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. 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 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 12.2 Update 1, the table below indicates the versions: CUDA 12.2 Update 1 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.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |