What Is Nvidia Cuda For Mac

Blu-ray Master converters has adopted the NVIDIA® CUDA™ technology, which can improve video encoding/decoding performance on any computer with a CUDA-enabled GPU.

  1. What Is Nvidia Cuda For Mac Pro
  2. Nvidia Cuda Driver For Mac
  3. What Is Nvidia Cuda For Mac Catalina
  4. Nvidia Drivers For Mac
What Is Nvidia Cuda For Mac

Download English (US), New Release 7.5.26. CUDA driver update to support MAC OS X 10.11.4 and NVIDIA display driver 346.03.06f01. Note: the CUDA-enabled GPU should have a minimum of 256MB of local graphics memory. All the Supported Graphics Card we provide above is just the reference. For the specific acceleration statement with NVIDIA CUDA technology, users should take NVIDIA official site as the standard. CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded.

What is CUDA?

CUDA (Compute Unified Device Architecture) is NVIDIA's parallel computing architecture, which enables GPU (graphics processing units) to handle complex computing issues. Using NVIDIA's GPU to convert Blu-ray/DVD/video can reserve more spaces and resources of your computer CPU that can be used for other applications and tasks.

Our software can only accelerate the conversion from BD to the video with H.264 codec.

Cores

What Is Nvidia Cuda For Mac Pro

Supported Graphics Card:

Quadro Desktop SeriesQuadro FX 5800/FX 5600/FX 4800/FX 4800 for Mac/FX 4700 X2/FX 4600/FX 3800/FX 3700/FX 1800/FX 1700/FX 580/FX 570/FX 470/FX 380/FX 370
Quadro CX/6000/5000/4000/NVS 450/NVS 420/NVS 295/NVS 290/Plex 7000/Plex 2100 D4/Plex 2200 D2/Plex 2100 S4/Plex 1000 Model IV
Quadro Mobile SeriesQuadro FX 3800M/FX 3700M/FX 3600M/FX 2800M/FX 2700M/FX 1800M/FX 1700M/FX 1600M/FX 880M/FX 770M/FX 570M/FX 380M/FX 370M/FX 360M
Quadro 5000M/NVS 5100M/NVS 3100M/NVS 2100M/NVS 320M/NVS 160M/NVS 150M/NVS 140M/NVS 135M/NVS 130M
GeForce 400 Series GeForce GTX 480/GTX 470/GTX 465/GTX 460/GTX 480M
GeForce 300 SeriesGeForce GT 340/GT 330/GT 320/315/310/GTS 360M/GTS 350M/GT 335M/GT 330M/GT 325M/310M/305M
GeForce 200 SeriesGeForce GTX 295/GTX 285/GTX 285 for Mac/GTX 280/GTX 275/GTX 260/GTS 250/GT 240/GT 220/210
GeForce GTX 285M/GTX 280M/GTX 260M/GTS 260M/GTS 250M/GT 240M/GT 230M
GeForce 100 Series GeForce GTS 150/GT 130/GT 120/G100
GeForce GTS 160M/GTS 150M/GT 130M/G210M/G110M/G105M/G102M
GeForce 9 SeriesGeForce 9800 GX2/9800 GTX+/9800 GTX/9800 GT/9600 GSO/9600 GT/9500 GT/9400GT
GeForce 9800M GTX/9800M GT/9800M GTS/9800M GS/9700M GTS/9700M GT/9650M GS/9600M GT/9600M GS/9500M GS/9500M G/9400M G/9300M GS/9300M G/9200M GS/9100M G
GeForce 9400/9300 mGPU
GeForce 8 SeriesGeForce 8800 Ultra/8800 GTX/8800 GTS/8800 GT/8800 GS/8600 GTS/8600 GT/8500 GT/8400 GS
GeForce 8800M GTS/8700M GT/8600M GT/8600M GS/8400M GT/8400M GS
GeForce 8300/8200/8100 mGPU

Note: the CUDA-enabled GPU should have a minimum of 256MB of local graphics memory. All the Supported Graphics Card we provide above is just the reference. For the specific acceleration statement with NVIDIA CUDA technology, users should take NVIDIA official site as the standard.

The NVIDIA Visual Profiler is a cross-platform performance profiling tool that delivers developers vital feedback for optimizing CUDA C/C++ applications. First introduced in 2008, Visual Profiler supports all 350 million+ CUDA capable NVIDIA GPUs shipped since 2006 on Linux, Mac OS X, and Windows. The NVIDIA Visual Profiler is available as part of the CUDA Toolkit.

Nvidia Cuda Driver For Mac

MacCatalina

Note that NVIDIA® CUDA Toolkit 11.0 (and later) no longer supports development or running applications on macOS. While there are no tools which use macOS as a target environment, NVIDIA is making a macOS host version of Visual Profiler available from which you can launch profiling sessions on supported target platforms. You may download this and other macOS tools using the button below.

(Click to Zoom)

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Overview

  • Focus on the information that matters
    Quickly identify potential performance bottleneck issues in your applications using highly configurable tables and graphical views
  • Automated performance analysis
    Perform automated analysis of your application to identify performance bottlenecks and get optimization suggestions that can be used to improve performance
  • Unified CPU and GPU Timeline
    View CUDA activity occurring on both CPU and GPU in a unified time line, including CUDA API calls, memory transfers and CUDA launches.
  • CUDA API trace
    View all memory transfers, kernel launches, and other API functions on the same timeline
  • Drill down to raw data
    Gain low-level insights by looking at performance metrics collected directly from GPU hardware counters and software instrumentation.
  • Compare results across multiple sessions
    Confirm performance improvements by comparing against previous sessions
  • Analyze data collected from remote systems
    Use the command line profiler using environment variables to collect data from multiple systems and analyze the results in Visual Profiler
  • CUDA Dynamic Parallelism
    View timeline for applications that use CUDA Dynamic Parallelism including both host-launched and device-launched kernels and the parent-child relationship between kernels.
  • Guided Application Analysis
    Use the guided analysis mode has to get step-by-step analysis and optimization guidance. The analysis results now include graphical visualizations to more clearly indicate the optimization opportunities.
  • Power, thermal, and clock profiling
    Observe how GPU power, thermal, and clock values vary during application execution

The latest version of Visual Profiler with support for both CUDA C/C++ applications is available with the CUDA Toolkit and is supported on all platforms supported by the CUDA Toolkit.

Developers should be sure to check out NVIDIA Nsight Systems for our next generation profiling tool with Linux, Windows, macOS, PowerPC, and Arm support. Be sure to review our tool migration recommendations to make your transition easier.

For development and debugging on Windows, see Nsight Visual Studio Edition and NVIDIA Nsight Systems Visual Studio integration with NVIDIA Nsight Integration.

For more information on the Visual Profiler and other CUDA development tools:

What Is Nvidia Cuda For Mac Catalina

  • NVIDIA Nsight Systems
    • NVIDIA Nsight Systems Visual Studio integration with NVIDIA Nsight Integration

Questions on CUDA Tools?

Nvidia Drivers For Mac

If you encounter difficulty with any of the CUDA Tools or have more questions please contact the NVIDIA tools team at ([email protected]).