cuda-mandelbrot | simple CUDA program to generate an image | Computer Vision library

by benhiller C Version: Current License: No License

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kandi X-RAY | cuda-mandelbrot Summary

cuda-mandelbrot is a C library typically used in Artificial Intelligence, Computer Vision, Example Codes applications. cuda-mandelbrot has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A very simple CUDA program to generate an image of the Mandelbrot set, very similar to the OpenCL program on purpose.

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Support

cuda-mandelbrot has a low active ecosystem.

It has 8 star(s) with 3 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

cuda-mandelbrot has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cuda-mandelbrot is current.

Quality

cuda-mandelbrot has no bugs reported.

Security

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

License

cuda-mandelbrot 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.

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

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cuda-mandelbrot Key Features

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cuda-mandelbrot Examples and Code Snippets

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Community Discussions

Trending Discussions on cuda-mandelbrot

Cuda Python Error: TypingError: cannot determine Numba type of

QUESTION

Cuda Python Error: TypingError: cannot determine Numba type of

Asked 2021-May-02 at 00:51

Background: I'm trying to create a simple bootstrap function for sampling means with replacement. I want to parallelize the function since I will eventually be deploying this on data with millions of data points and will want to have sample sizes much larger. I've ran other examples such as the Mandelbrot example. In the code below you'll see that I have a CPU version of the code, which runs fine as well.

I've read several resources to get this up and running:

Random Numbers with CUDA

Writing Kernels in CUDA

The issue: This is my first foray into CUDA programming and I believe I have everything setup correctly. I'm getting this one error that I cannot seem to figure out:

...

ANSWER

Answered 2021-May-02 at 00:33

You seem to have at least 4 issues:

In your kernel code, rand_idx_arry is undefined.
You can't do .mean() in cuda device code
Your kernel launch config parameters are reversed.
Your kernel had an incorrect range for the grid-stride loop. dt_array.shape[0] is 50, so you were only populating the first 50 locations in your gpu output array. Just like your host code, the range for this grid-stride loop should be the size of the output array (which is boot_samp)

There may be other issues as well, but when I refactor your code like this to address those issues, it seems to run without error:

Source https://stackoverflow.com/questions/67351468

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

Vulnerabilities

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You can download it from GitHub.

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