cuLDPC | CUDA implementation of LDPC decoding algorithm | GPU library

by robertwgh C++ Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | cuLDPC Summary

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

This is a CUDA-based software implementation of LDPC decoding algorithm. The code was developed by the authors for research purpose.

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Support

cuLDPC has a low active ecosystem.

It has 25 star(s) with 8 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cuLDPC is current.

Quality

cuLDPC has 0 bugs and 0 code smells.

Security

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

cuLDPC code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cuLDPC 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.

Reuse

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

Installation instructions are not available. Examples and code snippets are available.

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cuLDPC Key Features

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cuLDPC Examples and Code Snippets

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Community Discussions

Trending Discussions on cuLDPC

How to compile a CUDA C++ project

QUESTION

How to compile a CUDA C++ project

Asked 2019-Jul-16 at 03:51

I am writing code to handle communication between two users and require a CUDA implementation of LDPC to quickly check for errors. I have not used CUDA before but I have found a repo on GitHub (https://github.com/robertwgh/cuLDPC) which does everything I need. My problem is that I am unable to compile this library, possibly due to it being an old version of CUDA (v4/v5).

I have tried compiling using Visual Studio by adding all of the files to a project, but various errors appear. Some of these seem to be with the code itself but the main issue is a problem with nvcc, given in an MSB3721 error.

In the repo there is a pull request which contains a makefile, so I checked that out but this has not changed the error.

I then tried going into the command prompt and using nvcc manually, but get the error

Cannot find compiler 'cl.exe' in PATH

I have tried solving this by adding

C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\bin\

to my PATH variable, but I get the same error. I also ran vcvars32.bat and vcvars64.bat after resetting my PATH but this still had no effect both times.

Additionally, I have added cublas.lib, cudart.lib and cusparse.lib to the linker input dependencies in the project properties and I have checked CUDA 10.1 in the build dependencies > build customisations menu.

I am at a loss on where to go now and would very much appreciate some help from people with some more knowledge on the matter.

...

ANSWER

Answered 2019-Jul-16 at 03:51

FWIW that github repo built and ran for me, almost out-of-the-box. The only few hacks needed were:

Don't compile cuLDPC_kernel.cu directly, because it's treated like a header file from cuLDPC.cu
Comment out some broken timing code, that is non-critical to the functionality. I guess the variables are in the wrong lexical scope. (result of git diff below)

First create a new CUDA-enabled Visual Studio project:

Drag in the "src" directory from the github repo. Then modify file properties for cuLDPC_kernel.cu to not be built.

Set "Excluded from Build" = Yes

Code changes required to build:

Source https://stackoverflow.com/questions/57043774

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

Vulnerabilities

No vulnerabilities reported

Install cuLDPC

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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