OceanFFT | CUDA sampleのOceanFFTの移植、簡素版 | GPU library

 by   toropippi C# Version: Current License: Apache-2.0

kandi X-RAY | OceanFFT Summary

kandi X-RAY | OceanFFT Summary

OceanFFT is a C# library typically used in Hardware, GPU applications. OceanFFT has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

1:Pointsのみの描画 2:法線を中心差分で計算 3:法線を解析的に計算 4:ライティング、視点固定、フレネル反射あり。(要修正) 5:Choppy Wave実装 6:泡(bubbles)実装.
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            kandi-support Support

              OceanFFT has a low active ecosystem.
              It has 7 star(s) with 0 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              OceanFFT has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of OceanFFT is current.

            kandi-Quality Quality

              OceanFFT has no bugs reported.

            kandi-Security Security

              OceanFFT has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              OceanFFT is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              OceanFFT releases are not available. You will need to build from source code and install.

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            OceanFFT Key Features

            No Key Features are available at this moment for OceanFFT.

            OceanFFT Examples and Code Snippets

            No Code Snippets are available at this moment for OceanFFT.

            Community Discussions

            QUESTION

            Python Tensorflow under Windows 10
            Asked 2019-Apr-11 at 22:37

            I am trying to get Tensorflow GPU support going in Python under Windows 10.

            What does work;

            Download and install Python v3.7.3

            ...

            ANSWER

            Answered 2019-Apr-11 at 22:37

            For all those with the „DLL load failed“ problem under Windows 10/Python 3.6.x/RTX20xx.

            The combination of CUDA 10.0 (not 10.1!), cuDNN 7.5.0 works fine for me (as of 12 April 2019). I also have Visual Studio 2015 installed (but not sure if needed).

            Don‘t forget to add the location of the cuDNN *.dll file (it‘s the /bin/ dir in your CUDA dir) to your PATH.

            If you have CUDA 10.1, just uninstall it, install 10.0, add the cuDNN files to the 10.0 dir, and reboot.

            Tensorflow can be installed using pip install tensorflow-gpu

            Source https://stackoverflow.com/questions/55389064

            QUESTION

            CUDA kernel returns nothing
            Asked 2017-Jul-03 at 05:36

            I'm using CUDA Toolkit 8 with Visual Studio Community 2015. When I try simple vector addition from NVidia's PDF manual (minus error checking which I don't have the *.h's for) it always comes back as undefined values, which means the output array was never filled. When I pre-fill it with 0's, that's all I get at the end.

            Others have had this problem and some people are saying it's caused by compiling for the wrong compute capability. However, I am using an NVidia GTX 750 Ti, which is supposed to be Compute Capability 5. I have tried compiling for Compute Capability 2.0 (the minimum for my SDK) and 5.0.

            I also cannot make any of the precompiled examples work, such as vectoradd.exe which says, "Failed to allocate device vector A (error code initialization error)!" And oceanfft.exe says, "Error unable to find GLSL vertex and fragment shaders!" which doesn't make sense because GLSL and fragment shading are very basic features.

            My driver version is 361.43 and other apps such as Blender Cycles in CUDA mode and Stellarium work perfectly.

            Here is the code that should work:

            ...

            ANSWER

            Answered 2017-Jul-02 at 10:12

            This was apparently caused by using an incompatible driver version with the CUDA 8 toolkit. Installing the driver distributed with the version 8 toolkit solved thr problem.

            [Answer assembled from comments and added as a community wiki entry to get the question off the unanswered queue for the CUDA tag]

            Source https://stackoverflow.com/questions/42310476

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install OceanFFT

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/toropippi/OceanFFT.git

          • CLI

            gh repo clone toropippi/OceanFFT

          • sshUrl

            git@github.com:toropippi/OceanFFT.git

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