GeForce 546.12 CUDA Toolkit 12.3.2

[StefanG3D]

Download now (Same driver as in update 1)

General CUDA New Features

• CUDA User Mode Driver, CUDA Runtime libraries and CUBLAS now come with obfuscated symbol names and with frame pointers enabled.

• Frame 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.

  • Allows better runtime visibility and traceability, and allows easier exchange of runtime information with NVIDIA when needed for debugging purposes.

  • See https://developer.nvidia.com/blog/cuda-toolkit-symbol-server/ for information on how to use obfuscated symbols.

  • Symbol server address is: https://cudatoolkit-symbols.nvidia.com/.

• Lazy loading default enablement for Windows:

  • Brings the significant memory savings and load-time reductions of lazy loading to Windows by default. Additionally, makes the behavior equivalent between Linux and Windows.

• Single-step CUDA uninstall for Windows:

  • It is no longer necessary to uninstall multiple components of the CUDA Toolkit individually to upgrade or uninstall CUDA. This can now be done in a single step.

• CUDA Graphs:

  • Graph edge data, allowing modified dependencies between nodes. Programmatic Dependent Launch may now be described natively in CUDA Graphs.

• Launch completion events:

  • Allows a dependency on scheduling, but not completion, of all blocks in a kernel, enabling tighter control of scheduling.

• MPS:

  • Added a CUDA API to query whether or not MPS is running.

• Added a driver API to return the name of a kernel function.

• Added an API to libnvJitLink to return the nvJitLink version.

• Added support for reading kernel parameters in device functions.

• Enable querying the return type of __device__ lambdas with trailing return type. Fixes uncommon failures when using device-side lambdas.

• NVML / nvidia-smi:

  • Metric for front-end context switch utilization (FECS)

  • Added metrics for Ada Lovelace AV1 codec utilization

  • Support GPU monitoring on Tegra

  • Added an NVML API to expose H100 PCIe counters and corresponding PCIe section in nvidia-smi