EuroPython2011_HighPerformanceComputing | High Performance Computing tutorial for EuroPython

by ianozsvald Python Version: Current License: No License

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kandi X-RAY | EuroPython2011_HighPerformanceComputing Summary

EuroPython2011_HighPerformanceComputing is a Python library. EuroPython2011_HighPerformanceComputing has no bugs, it has no vulnerabilities and it has low support. However EuroPython2011_HighPerformanceComputing build file is not available. You can download it from GitHub.

source code for high performance computing tutorial at europython 2011 ian@ianozsvald.com. description: the 4 hour tutorial will cover various ways of speeding up the provided mandelbrot code with a variety of python packages that let us go from bytecode to c, run on many cpus and many machines and also use a gpu. the presentation for the tutorial should give the necessary background. all the files are in subdirectories and are independent of each other, the general pattern is: python mandelbrot.py 1000 1000 where "mandelbrot.py" might be named e.g. "pure_python.py" or "cython_numpy_loop.py", the first 1000 is the pixel width and height, the second 1000 is the number of iterations. 1000x1000px plots with 1000 iterations are pretty. use the arguments "100 30" for a super quick test to validate that things are working (it makes a 100x100px image using only 30 iterations). the tutorial starts by using cprofile, runsnakerun and line_profiler to find the bottleneck, we then improve the code and add libraries to keep making things faster.

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EuroPython2011_HighPerformanceComputing has a low active ecosystem.

It has 98 star(s) with 21 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

EuroPython2011_HighPerformanceComputing has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of EuroPython2011_HighPerformanceComputing is current.

Quality

EuroPython2011_HighPerformanceComputing has 0 bugs and 0 code smells.

Security

EuroPython2011_HighPerformanceComputing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

EuroPython2011_HighPerformanceComputing code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

EuroPython2011_HighPerformanceComputing does not have a standard license declared.

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

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EuroPython2011_HighPerformanceComputing releases are not available. You will need to build from source code and install.

EuroPython2011_HighPerformanceComputing has no build file. You will be need to create the build yourself to build the component from source.

EuroPython2011_HighPerformanceComputing saves you 459 person hours of effort in developing the same functionality from scratch.

It has 1083 lines of code, 32 functions and 21 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed EuroPython2011_HighPerformanceComputing and discovered the below as its top functions. This is intended to give you an instant insight into EuroPython2011_HighPerformanceComputing implemented functionality, and help decide if they suit your requirements.

Calculate the pure Python code for the plot .
Calculate the output of the plot .
Calculates the z - axis of the z - axis .
Calculate the z - axis z - transform
Calculate the number of elements in the GPU .
Calculate z_serial for the given chunk .
Calculate z - indexing source module .
Calculate z .
Calculate the z - value

Get all kandi verified functions for this library.

EuroPython2011_HighPerformanceComputing Key Features

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EuroPython2011_HighPerformanceComputing Examples and Code Snippets

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Install EuroPython2011_HighPerformanceComputing

You can download it from GitHub.
You can use EuroPython2011_HighPerformanceComputing like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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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