Nvidia Physx For Mac Os X

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NVIDIA® CUDA Toolkit 11.1 Update 1 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.

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.

Download NVIDIA PhysX SDK - Delivers the most advanced gaming physics. The SDK is available for multiple platforms, including MAC OS X, Linux, Playstation 3, Wii and Xbox 360. NVIDIA CUDA 8.0 for MAC OS X release. Version: 8.0.90: Release Date: 2017.07.21 Operating System: Mac OS Language: English (U.S.) File Size: 43.2 MB Download Now Release Highlights. New Release 8.0.90. General CUDA driver update to support macOS 10.12 and NVIDIA display driver 378.05.05.25f01.

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:

Physx
  • 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
Revision History
NVIDIA® development tools are freely offered through the NVIDIA Registered Developer Program

Instructions for installing cuda-gdb on the macOS

    This tar archive holds the distribution of the CUDA 11.1 Update 1 cuda-gdb cuda-gdb debugger front-end for macOS.
    Native macOS debugging is not supported in this release. Remote debugging from a macOS host to other CUDA enabled targets, however, is supported.
    Supported Mac platforms: macOS 10.13
    To install:
    1. Create an installation directory
        INSTALL_DIR=$HOME/cuda-gdb-darwin-11.1
        mkdir $INSTALL_DIR
        cd $INSTALL_DIR
    2. Download the cuda-gdb-darwin-11.1.105.tar.gz tar archive into $INSTALL_DIR above
    3. Unpack the tar archive
        tar fxvz cuda-gdb-darwin-11.1.105.tar.gz
    4. Add the bin directory to your path
        PATH=$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
        11.1 release
        Portions Copyright (C) 2007-2020 NVIDIA Corporation
        GNU gdb (GDB) 8.3.1
        Copyright (C) 2019 Free Software Foundation, Inc.
        License GPLv3+: GNU GPL version 3 or later for more information:
          https://docs.nvidia.com/cuda/profiler-users-guide/index.html#visual

      Notes about JRE Requirements when using Visual Profiler on the macOS

        OpenJDK provides an open-source (and standards compliant) implementation of a Java compliant JVM.
        Binaries are provided by various vendors such as Oracle, Azul Systems (Zulu), Amazon, Red Hat, IBM, etc.
        Visual Profiler needs to use an older version of Java, specifically JRE update 151, to work correctly.
        This is currently not offered by Oracle JDK but is provided by Azul Systems (Zulu).
      Nvidia
        The Bazel Build project also uses the Zulu builds of OpenJDK.
        Download JDK 8.0.144 to get JRE update 151:
          • Download version: 8u144-b01 (Zulu: 8.23.0.3) .dmg.zip.tar.gz
          • Download version: Zulu 8.23.0.3 (build 1.8.0_144-b01 .zip

      Revision History

      Current Version
      Version Archive

      Article index:

      1 – The Demo

      Here is a small PhysX demo for testing purposes, created with GLSL Hacker. This demo, based on the latest beta version of PhysX 3.3, uses the cloth module of the PhysX engine and shows animated flags made up of 50×50 vertices. The demo also displays some information about the PhysX device using functions available in PhysX 3 SDK. The demo is coded in Lua and shows the use of Lua modules.


      PhysX 3 flag demo for Windows, CPU PhysX

      This demo is available for Windows 64-bit and Mac OS X 10.{7, 8, 9}. On Windows, the flag simulation can be done with the CPU or the GPU (you can switch between both modes with the G key). On OS X, only the CPU mode is available…

      And the Linux version ? It should be available shortly, as soon as I will have fixed a linking issue with the PhysX libs.


      PhysX 3 flag demo for Mac OS X

      Two words about GPU PhysX. GPU PhysX in the current PhysX 3.3 SDK is only available for cloth and particle modules. And GPU PhysX is available only under Windows. But good news, a trusted source told me that GPU PhysX is also planned for Linux and OS X (the bad news: the release date is not yet planned…).

      Now GPU PhysX on Windows. To take advantage of GPU PhysX for clothes, a PhysX application should create more cloth instances than the number of SMX (streaming multiprocessors). The GeForce GTX 780, for example, has 12 SMX, that’s why the demo creates 12 flags to fully exploit the GK110, each cloth being simulated by a SMX (192 CUDA cores). Here are some framerates for the GTX 780 testbed (Intel i5-4670K):
      – CPU PhysX: 180 FPS
      – GPU PhysX: 280 FPS

      And for a GeForce GTX 660 with 5 SMX (then 5 flags) we have:
      – CPU PhysX: 270 FPS
      – GPU PhysX: 370 FPS

      Nice speed boost!

      But there is a constraint: the number of vertices of the flag. To get the max performance, the grid that shapes the flag must have around 2500 vertices (50×50) to fit in GPU shared memory. As soon as you use a grid with more vertices (80×80 for example), there’s no difference between the GPU and the CPU. It’s even worse, GPU PhysX getting slower than CPU PhysX!

      In the demo, the each flag is made up of 50×50 vertices. You can change this number in the demo (file: PhysX3_Flag_Demo/demo/physx3_flag_v2_gl3.xml, line 100).

      CPU PhysX is perfect for low number of clothes or for clothes with more than 3000 vertices. But for many clothes with around 2000 vertices, GPU PhysX is the solution.


      PhysX 3 flag demo for Windows, GPU PhysX

      Nvidia Physx Legacy

      I often see, on forums, people saying that PhysX requires a NVIDIA hardware. This is WRONG. If you have a NVIDIA GPU, PhysX can use it (if the developer enabled this feature) to accelerate some simulations. But if you do not have a NVIDIA GPU or do not want to run GPU simulations, all PhysX simulations are done on CPU. That way, you can run a PhysX-based app with any graphics card because only CPU is used for physics computations. The following screenshots show the demo running with a Radeon HD 5770 and with Intel HD Graphics 4000:


      PhysX 3 flag demo on Radeon HD 5770 using the CPU for simulations


      PhysX 3 flag demo on Intel HD Graphics 4000 using the CPU for simulations

      2 – DOWNLOAD

      You can download the PhysX 3 flag demo for Windows and Mac OS X here:
      Webmasters: hotlinking is not allowed, please use the post url as download link.

      Nvidia Physx For Mac Os X 10.13

      Windows 64-bit
      [download#356#image]

      Mac OS X 10.7, 10.8, 10.9
      [download#357#image]


      Unzip the archive somewhere, and launch PhysX3_Flag_Demo.exe (Win64) or PhysX3_Flag_Demo.app (OS X). The source code (Lua + GLSL) is available in the demo/ folder.


      PhysX 3 flag demo for Windows, GPU PhysX

      Nvidia Physx For Mac Os X 10 11 Download Free


      Nvidia Physx For Mac Os X 10 12 Download

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