CUDAfy.NET | NET access to work with Visual Studio | GPU library

 by   rapiddev C# Version: v.1.0.0 License: LGPL-2.1

kandi X-RAY | CUDAfy.NET Summary

kandi X-RAY | CUDAfy.NET Summary

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

CUDAfy .NET allows easy development of high performance GPGPU applications completely from the Microsoft .NET framework. It's developed in C#. Modern graphics cards provide the potential of massive speed increase over CPUs for non-graphics related intensive numeric operations. Many large data set operations such as matrices can see a 100x or more speed up. CUDAfy allows .NET developers to easily create complex applications that split processing cleanly between host and GPU. There are no separate CUDA cu files or complex set-up procedures to launch GPU device functions. It follows the CUDA programming model and any knowledge gained from tutorials or books on CUDA can be easily transferred to CUDAfy, only in a clean .NET fashion.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              CUDAfy.NET has a low active ecosystem.
              It has 28 star(s) with 5 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 4 have been closed. On average issues are closed in 42 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of CUDAfy.NET is v.1.0.0

            kandi-Quality Quality

              CUDAfy.NET has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              CUDAfy.NET 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

              CUDAfy.NET releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              CUDAfy.NET saves you 4170 person hours of effort in developing the same functionality from scratch.
              It has 8853 lines of code, 0 functions and 920 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of CUDAfy.NET
            Get all kandi verified functions for this library.

            CUDAfy.NET Key Features

            No Key Features are available at this moment for CUDAfy.NET.

            CUDAfy.NET Examples and Code Snippets

            No Code Snippets are available at this moment for CUDAfy.NET.

            Community Discussions

            QUESTION

            How to convert function with nested for-loops to Cudafy.Net
            Asked 2017-Jun-26 at 22:55

            I can't believe after all the research and reading I've done I am still not 100% clear on how to do this, so I must ask.. I am trying to get something like the following to run on a gpu card and I am using Cudafy.Net to generate the Cuda C equivalent. I want to get this to run as fast as possible.

            If I have a function (simplified) such as:

            ...

            ANSWER

            Answered 2017-Jun-26 at 22:55

            It depends on the size of lgeHeight and lgeWidth. If the product of them is less than the threads on the card, then when you launch the kernel you can assume that each thread will run on one pair of x and y.

            Source https://stackoverflow.com/questions/44768344

            QUESTION

            Cuda/cudafy 3d indexing
            Asked 2017-May-17 at 12:08

            Trying to get my head around cuda, after not grasping similar stackoverflow questions i decided to test out an example (i'm using cudafy.net for c# but the underlying cuda should be parsable)

            I want to do the following. Send a 4x4x4 matrix to the kernel and get a 4x4x4 out according to this logic:

            ...

            ANSWER

            Answered 2017-May-17 at 12:08

            How many threads am I starting ? You are starting 1 thread per block, hence 16 total since the Z parameter is not used. For better performance, I would recommend also using threads (at least 128, and multiple of 32 anyways).

            How do you go about 'indexing' my example problem in 3 dimensions (Starting 4x4x4 threads and getting the variables for flat3DArray[x * sizeY * sizeZ + y * sizeZ + z])? The second parameter of gpu.Launch method is for threads. x, y and z could hence be threadIdx.x, threadIdx.y and threadIdx.z respectively. But you may also want to use many blocks, thus threadIdx.x + blockDim.x * blockIdx.x could be a good peak.

            The link you provided here explains why your Z dimension is not relevant. CUDAfy.Net exposes the launch function that further calls cuda runtime CUDA/C API call. When passing parameters from dot net to native environment, it seems that CUDAfy.Net simply ignores the Z argument leaving it to one. (this is most probably due to the fact that early versions of CUDA did not support the Z parameter different than one). The explanation is not pure-cuda because CUDA now supports Z value different than one, but your parameter is simply ignored in the CUDAfy.Net implementation.

            Source https://stackoverflow.com/questions/43963644

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

            Vulnerabilities

            No vulnerabilities reported

            Install CUDAfy.NET

            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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/rapiddev/CUDAfy.NET.git

          • CLI

            gh repo clone rapiddev/CUDAfy.NET

          • sshUrl

            git@github.com:rapiddev/CUDAfy.NET.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link