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NVIDIA CUDA Installation Guide for Mac OS X DU-05348-001v11.0 6 If you have not installed a stand-alone driver, install the driver provided with the CUDA Toolkit. CUDA driver update to support CUDA Toolkit 9.0, macOS 10.13.2 and NVIDIA display driver 378.10.10.10.25.102 - macOS CUDA driver version format change - The macOS CUDA driver version now uses the format xxx.xx compare to x.x.x to be consistent with our Linux and Windows driver version naming convention. CUDA 9.0 - Supported MAC OS X 10.13.x. The NVIDIA tool for debugging CUDA applications running on Linux and Mac, providing developers with a mechanism for debugging CUDA applications running on actual hardware. CUDA-GDB is an extension to the x86-64 port of GDB, the GNU Project debugger.
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.
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)
Instructions for installing cuda-gdb on the macOS
- 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:
- Create an installation directory
- INSTALL_DIR=$HOME/cuda-gdb-darwin-11.0
mkdir $INSTALL_DIR
cd $INSTALL_DIR - Download the cuda-gdb-darwin-11.0.tar.gz tar archive into $INSTALL_DIR above
- Unpack the tar archive
- tar fxvz cuda-gdb-darwin-11.0.tar.gz
- Add the bin directory to your path
- PATH=$INSTALL_DIR/bin:$PATH
- Run cuda-gdb --version to confirm you're picking up the correct binaries
- cuda-gdb --version
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
- 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
Develop, Optimize and Deploy GPU-Accelerated Apps
The NVIDIA® CUDA® Toolkit provides a development environment for creating high performance GPU-accelerated applications. With the CUDA Toolkit, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and HPC supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library to build and deploy your application on major architectures including x86, Arm and POWER.
Using built-in capabilities for distributing computations across multi-GPU configurations, scientists and researchers can develop applications that scale from single GPU workstations to cloud installations with thousands of GPUs.
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