gpu-burn | Multi-GPU CUDA stress test | GPU library

by wilicc C++ Version: Current License: BSD-2-Clause

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

kandi X-RAY | gpu-burn Summary

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

Multi-GPU CUDA stress test

Support

Quality

Security

License

Reuse

Support

gpu-burn has a low active ecosystem.

It has 778 star(s) with 191 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 33 open issues and 20 have been closed. On average issues are closed in 64 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gpu-burn is current.

Quality

gpu-burn has no bugs reported.

Security

gpu-burn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

gpu-burn is licensed under the BSD-2-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

gpu-burn 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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gpu-burn Key Features

No Key Features are available at this moment for gpu-burn.

gpu-burn Examples and Code Snippets

No Code Snippets are available at this moment for gpu-burn.

Community Discussions

Trending Discussions on gpu-burn

CUDA mathfunctions.hpp compiler error on Mac OS: cannot overload functions distinguished by return type

QUESTION

CUDA mathfunctions.hpp compiler error on Mac OS: cannot overload functions distinguished by return type

Asked 2019-Apr-17 at 15:18

I tried to compile the code from https://github.com/wilicc/gpu-burn using the following Makefile. It is a GPU burner using CUDA and my Mac indeed has the GT750M.

...

ANSWER

Answered 2019-Apr-17 at 15:18

A workaround to this is to simply edit math_functions.hpp (and also math_functions.h in my case) and comment out the offending lines.

Source https://stackoverflow.com/questions/55461090

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

Vulnerabilities

No vulnerabilities reported

Install gpu-burn

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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