Mac Os X Developer Tools Download

NVIDIA® CUDA Toolkit 11.0 no longer supports development or running applications on macOS. While there are no tools which use macOS as a target environment, NVIDIA is making macOS host versions of these tools that you can launch profiling and debugging sessions on supported target platforms.

Mac Catalyst The macOS 12 SDK brings new and improved APIs for apps built with Mac Catalyst, allowing you to display pop-up buttons, tooltips, and a subtitle in a windowʼs titlebar. You can also provide Touch alternatives, keyboard navigation, and support for Siri intents, as well as allow users to print everywhere using Command-P, and more.

You may download all these tools here. Note that the Nsight tools provide the ability to download these macOS host versions on their respective product pages.

Please visit each tool's overview page for more information about the tool and its supported target platforms.

The macOS host tools provided are:

  • Nsight Systems - a system profiler and timeline trace tool supporting Pascal and newer GPUs
  • Nsight Compute - a CUDA kernel profiler supporting Volta and new GPUs
  • Visual Profiler - a CUDA kernel and system profiler and timeline trace tool supporting older GPUs (see installation instructions, below)
  • cuda-gdb - a GPU and CPU CUDA application debugger (see installation instructions, below)

Download
  1. Download Mac OS X 10.5.6 for Mac & read reviews. The Mojave update. Developer: Apple. Auto Mouse Click. Auto mouse software for quicker clicks.
  2. Install command line developer tools in OS X. If you need access to programming tools on your Mac, there are several ways to go about installing them.
  3. MacOS Catalina 10.15.7 Supplemental Update 2. MacOS Catalina 10.15.7 supplemental update addresses an issue that may prevent the battery from charging in some 2016 and 2017 MacBook Pro models.
NVIDIA® developement tools are freely offered through the NVIDIA Registered Developer Program

Instructions for installing cuda-gdb on the macOS

ToolsDeveloper
    This tar archive holds the distribution of the CUDA 11.0 cuda-gdb debugger front-end for macOS.
    Native macOS debugging is not supported in this release, only remote debugging to other CUDA enabled targets.
    To install:
    1. Create an installation directory
        INSTALL_DIR=$HOME/cuda-gdb-darwin-11.0
        mkdir $INSTALL_DIR
        cd $INSTALL_DIR
    2. Download the cuda-gdb-darwin-11.0.tar.gz tar archive into $INSTALL_DIR above
    3. Unpack the tar archive
        tar fxvz cuda-gdb-darwin-11.0.tar.gz
    4. Add the bin directory to your path
        PATH=$INSTALL_DIR/bin:$PATH
    5. Run cuda-gdb --version to confirm you're picking up the correct binaries
        cuda-gdb --version
    6. You should see the following output:

        NVIDIA (R) CUDA Debugger
        11.0 release
        Portions Copyright (C) 2007-2020 NVIDIA Corporation
        GNU gdb (GDB) 8.2
        Copyright (C) 2018 Free Software Foundation, Inc.
        License GPLv3+: GNU GPL version 3 or later

        Instructions for installing Visual Profiler on the macOS

        Mac

        Mac Os X Developer Tools Downloads

          Native macOS profiling is not supported in this release, only remote debugging to other CUDA enabled targets.
          Supported Mac platforms: Mac OS X 10.13
          Steps to install:
          1. Double click .dmg file to mount it and access it in finder.
          2. Drag nvvp folder and drop it to any location you want (say <nvvp_mac>).
            Directory Structure:
              |--nvvp
              |--bin/
              |--lib64/
              |--libnvvp/
          Steps to run:
          1. Open terminal.
          2. Change to the bin folder
              > cd <nvvp_mac>/nvvp/bin
          3. Run nvvp script file in command line
              > ./nvvp
        Mac
          Summary of supported features:
          1. Remote profiling
          2. Import nvprof output files

        Microsoft Developer Tools

          Refer the 'Visual Profiler' section in the 'Profiler User's Guide'
          for more information:
            https://docs.nvidia.com/cuda/profiler-users-guide/index.html#visual