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A more recent release is available see the CUDA Toolkit and GPU Computing SDK home page

NVIDIA CUDA Getting Started Guide for Mac OS X DU-05348-001v7.0 4 Chapter 3. INSTALLATION 3.1. Download Once you have verified that you have a supported NVIDIA GPU, a supported version the MAC OS, and clang, you need to download the NVIDIA CUDA Toolkit. The NVIDIA CUDA Toolkit is available at no cost from the main CUDA Downloads page. Cuda mac free download. Free movie effects software for mac download. Cuda-z Simple program that displays information about CUDA-enabled devices. The program is equipped with GP. Binaries for CUDA mining on macOS, built from KlausT/ccminer-cryptonight. To mine with ccminer-cryptonight-mac, you'll need to download and install the following: An NVIDIA web driver compatible with your macOS build number. Go to Apple About This Mac, and click on the Version number to reveal the build number; A CUDA driver, v387.128. CUDA Driver for Mac is a very useful software package that provides support for a large collection of NVIDIA video cards. The CUDA Driver is designed for all NVIDIA products available on the Mac hardware platform and it will install an applet in System Preferences.

For older releases, see theCUDA Toolkit Release Archive

Release Highlights

• Support for the new Fermi architecture, with:
  • Native 64-bit GPU support
  • Multiple Copy Engine support
  • ECC reporting
  • Concurrent Kernel Execution
  • Fermi HW debugging support in cuda-gdb
  • Fermi HW profiling support for CUDA C and OpenCL in Visual Profiler
• C++ Class Inheritance and Template Inheritance support for increased programmer productivity
• A new unified interoperability API for Direct3D and OpenGL, with support for:
  • OpenGL texture interop
  • Direct3D 11 interop support
• CUDA Driver / Runtime Buffer Interoperability, which allows applications using the CUDA Driver API to also use libraries implemented using the CUDA C Runtime such as CUFFT and CUBLAS.
• CUBLAS now supports all BLAS1, 2, and 3 routines including those for single and double precision complex numbers
• Up to 100x performance improvement while debugging applications with cuda-gdb
• cuda-gdb hardware debugging support for applications that use the CUDA Driver API
• cuda-gdb support for JIT-compiled kernels
• New CUDA Memory Checker reports misalignment and out of bounds errors, available as a stand-alone utility and debugging mode within cuda-gdb
• CUDA Toolkit libraries are now versioned, enabling applications to require a specific version, support multiple versions explicitly, etc.
• CUDA C/C++ kernels are now compiled to standard ELF format
• Support for device emulation mode has been packaged in a separate version of the CUDA C Runtime (CUDART), and is deprecated in this release. Now that more sophisticated hardware debugging tools are available and more are on the way, NVIDIA will be focusing on supporting these tools instead of the legacy device emulation functionality.
  • On Windows, use the new Parallel Nsight development environment for Visual Studio, with integrated GPU debugging and profiling tools (was code-named 'Nexus'). Please seewww.nvidia.com/nsightfor details.
  • On Linux, use cuda-gdb and cuda-memcheck, and check out the solutions from Allinea and TotalView that will be available soon.
• Support for all the OpenCL features in the latest R195 production driver package:
  • Double Precision
  • Graphics Interoperability with OpenCL, Direc3D9, Direct3D10, and Direct3D11 for high performance visualization
  • Query for Compute Capability, so you can target optimizations for GPU architectures (cl_nv_device_attribute_query)
  • Ability to control compiler optimization settings via support for pragma unroll in OpenCL kernels and an extension that allows programmers to set compiler flags. (cl_nv_compiler_options)
  • OpenCL Images support, for better/faster image filtering
  • 32-bit global and local atomics for fast, convenient data manipulation
  • Byte Addressable Stores, for faster video/image processing and compression algorithms
  • Support for the latest OpenCL spec revision 1.0.48 and latest official Khronos OpenCL headers as of 2010-02-17

Note: The developer driver packages below provide baseline support for the widest number of NVIDIA products in the smallest number of installers. More recent production driver packages for developers and end users may be available atwww.nvidia.com/drivers.

For additional tools and solutions for Windows, Linux and MAC OS , such as CUDA Fortran, CULA, CUDA-dgb , please visit our Tools and Ecosystem Page

Cuda-z Mac Download

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Previous releases of the CUDA Toolkit, GPU Computing SDK, documentation and developer drivers can be found using the links below. Please select the release you want from the list below, and be sure to check www.nvidia.com/drivers for more recent production drivers appropriate for your hardware configuration.

Latest Release
CUDA Toolkit 11.1.1 (Oct 2020), Versioned Online Documentation

Archived Releases

CUDA Toolkit 11.1.0 (Sept 2020), Versioned Online Documentation
CUDA Toolkit 11.0 Update1 (Aug 2020), Versioned Online Documentation
CUDA Toolkit 11.0 (May 2020), Versioned Online Documentation
CUDA Toolkit 10.2 (Nov 2019), Versioned Online Documentation
CUDA Toolkit 10.1 update2 (Aug 2019), Versioned Online Documentation
CUDA Toolkit 10.1 update1 (May 2019), Versioned Online Documentation
CUDA Toolkit 10.1 (Feb 2019), Online Documentation
CUDA Toolkit 10.0 (Sept 2018), Online Documentation
CUDA Toolkit 9.2 (May 2018),Online Documentation
CUDA Toolkit 9.1 (Dec 2017), Online Documentation
CUDA Toolkit 9.0 (Sept 2017), Online Documentation
CUDA Toolkit 8.0 GA2 (Feb 2017), Online Documentation
CUDA Toolkit 8.0 GA1 (Sept 2016), Online Documentation
CUDA Toolkit 7.5 (Sept 2015)
CUDA Toolkit 7.0 (March 2015)
CUDA Toolkit 6.5 (August 2014)
CUDA Toolkit 6.0 (April 2014)
CUDA Toolkit 5.5 (July 2013)
CUDA Toolkit 5.0 (Oct 2012)
CUDA Toolkit 4.2 (April 2012)
CUDA Toolkit 4.1 (Jan 2012)
CUDA Toolkit 4.0 (May 2011)
CUDA Toolkit 3.2 (Nov 2010)
CUDA Toolkit 3.1 (June 2010)
CUDA Toolkit 3.0 (March 2010)
OpenCL 1.0 Release (Sept 2009)
CUDA Toolkit 2.3 (June 2009)
CUDA Toolkit 2.2 (May 2009)
CUDA Toolkit 2.1 (Jan 2009)
CUDA Toolkit 2.0 (Aug 2008)
CUDA Toolkit 1.1 (Dec 2007)
CUDA Toolkit 1.0 (June 2007)

Cuda Download Mac Os

Learn more about the latest CUDA Toolkit and the CUDA Tools and Library Ecosystem Free watermark software for mac.