cuda-edu | tool allowing students of Coursera | GPU library

by sean-dougherty C++ Version: Current License: No License

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

kandi X-RAY | cuda-edu Summary

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

cuda-edu is a tool for students of the Coursera Heterogeneous Parallel Programming course that allows for homework assignments to be developed on a local machine without a CUDA GPU. It should be possible to use exactly the same source code with both cuda-edu and WebGPU. It is not officially sanctioned by the staff of Heterogenous Parallel Programming. It is just a tool created by a CTA (Community Teaching Assistant).

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Quality

Security

License

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Support

cuda-edu has a low active ecosystem.

It has 10 star(s) with 3 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 2 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cuda-edu is current.

Quality

cuda-edu has no bugs reported.

Security

cuda-edu has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

cuda-edu does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

cuda-edu releases are not available. You will need to build from source code and install.

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

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cuda-edu Key Features

No Key Features are available at this moment for cuda-edu.

cuda-edu Examples and Code Snippets

No Code Snippets are available at this moment for cuda-edu.

Community Discussions

Trending Discussions on cuda-edu

A amazing result with CUDA GPU when block number is large

QUESTION

A amazing result with CUDA GPU when block number is large

Asked 2017-Dec-29 at 06:31

Recently I work with CUDA programming, I met an incredible problem when the blockNum Exceeding 500. In order to simplify the mode,I wrote the following test code:

...

ANSWER

Answered 2017-Nov-17 at 13:11

The problem is in this code:

Source https://stackoverflow.com/questions/47350509

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

Vulnerabilities

No vulnerabilities reported

Install cuda-edu

Installation instructions are hosted on the Wiki. Please see the page for your OS:.
Linux installation
Mac installation
Windows installation

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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