ILGPU | ILGPU JIT Compiler for high-performance .Net GPU programs | GPU library

 by   m4rs-mt C# Version: v1.4.0 License: Non-SPDX

kandi X-RAY | ILGPU Summary

kandi X-RAY | ILGPU Summary

ILGPU is a C# library typically used in Hardware, GPU applications. ILGPU has no bugs, it has no vulnerabilities and it has medium support. However ILGPU has a Non-SPDX License. You can download it from GitHub.

ILGPU is a JIT (just-in-time) compiler for high-performance GPU programs written in .Net-based languages. ILGPU is entirely written in C# without any native dependencies. It offers the flexibility and the convenience of C++ AMP on the one hand and the high performance of Cuda programs on the other hand. Functions in the scope of kernels do not have to be annotated (default C# functions) and are allowed to work on value types. All kernels (including all hardware features like shared memory and atomics) can be executed and debugged on the CPU using the integrated multi-threaded CPU accelerator.
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              ILGPU has a medium active ecosystem.
              It has 836 star(s) with 90 fork(s). There are 27 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 12 open issues and 329 have been closed. On average issues are closed in 44 days. There are 11 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ILGPU is v1.4.0

            kandi-Quality Quality

              ILGPU has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ILGPU has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              ILGPU releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 4544 lines of code, 0 functions and 623 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            ILGPU Key Features

            No Key Features are available at this moment for ILGPU.

            ILGPU Examples and Code Snippets

            No Code Snippets are available at this moment for ILGPU.

            Community Discussions

            QUESTION

            ILGPU in VB.NET basic memory buffer allocation
            Asked 2021-Nov-03 at 18:30

            I am trying to get ILGPU work with VB.NET, but I am struggling even with the basic variable declaration from the tutorials.

            This is the C# declaration for the memory buffer. It is pretty straight forward.

            ...

            ANSWER

            Answered 2021-Oct-16 at 22:35

            After some more reading, I come to the conclusion that ILGPU is not compatible with VB.NET.

            The solution to my problem is to add a c# library to my VB project where I handle the ILGPU only.

            Source https://stackoverflow.com/questions/69585767

            QUESTION

            C#: int[] is nullable without declaring it so?
            Asked 2021-Sep-25 at 22:00

            I'm trying to use ILGPU to mess with CUDA on my GPU.

            When I try to load a kernel and pass it some data:

            ...

            ANSWER

            Answered 2021-Sep-25 at 21:59

            int is non nullable, but int[] is, since

            Array types are reference types.

            You can see this on editor:

            See also this answer.

            Source https://stackoverflow.com/questions/69330259

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

            Vulnerabilities

            No vulnerabilities reported

            Install ILGPU

            ILGPU requires Visual Studio 2022 (or higher) and/or a .NET 6.0 SDK toolchain. Use the provided Visual Studio solution to build the ILGPU libs in the desired configurations (Debug/Release).

            Support

            The ILGPU community provides immediate help, feedback and suggestions via Discord ASAP. Log on to the server and you can get started right away. There are weekly talk-to-dev meetings on the Discord server. Don't hesitate to join the meeting if you have any questions or suggestions or just want to talk to one of the contributors. Check out the welcome channel on our Discord server for more information.
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