managedCuda | ManagedCUDA aims an easy integration | GPU library

 by   kunzmi C# Version: v7.5 License: LGPL-2.1

kandi X-RAY | managedCuda Summary

kandi X-RAY | managedCuda Summary

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

ManagedCUDA aims an easy integration of NVidia's CUDA in .net applications written in C#, Visual Basic or any other .net language.
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            kandi-support Support

              managedCuda has a low active ecosystem.
              It has 305 star(s) with 67 fork(s). There are 38 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 28 open issues and 60 have been closed. On average issues are closed in 17 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of managedCuda is v7.5

            kandi-Quality Quality

              managedCuda has 0 bugs and 0 code smells.

            kandi-Security Security

              managedCuda has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              managedCuda code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              managedCuda is licensed under the LGPL-2.1 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              managedCuda releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            managedCuda Key Features

            No Key Features are available at this moment for managedCuda.

            managedCuda Examples and Code Snippets

            No Code Snippets are available at this moment for managedCuda.

            Community Discussions

            QUESTION

            Is it normal for complex array fft-ifft pair radically change values on each iteration?
            Asked 2020-May-18 at 16:33

            So simple 3D fft-ifft pair on array of complex values code here:

            ...

            ANSWER

            Answered 2020-May-18 at 16:33

            You have a non-normalized FFT/IFFT pair. Each iteration the values of the array grow by a factor of N (the number of samples in the array).

            Usually it is the inverse transform that has a 1/N factor in it, but some implementations put that factor in the forward transform, or split it by adding a factor 1/sqrt(N) to both transforms.

            Some implementations just want to be fast and leave out the normalization to save N multiplications. You seem to have one of these implementations. You will have to add the normalization yourself.

            Source https://stackoverflow.com/questions/61873954

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

            Vulnerabilities

            No vulnerabilities reported

            Install managedCuda

            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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            gh repo clone kunzmi/managedCuda

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            git@github.com:kunzmi/managedCuda.git

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