pi-estimator
mandelbrot-comparison
| pi-estimator | mandelbrot-comparison | |
|---|---|---|
| 1 | 4 | |
| 0 | 12 | |
| - | - | |
| 1.8 | 1.8 | |
| almost 3 years ago | about 1 year ago | |
| C++ | C++ | |
| - | MIT License |
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pi-estimator
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Great little project to create together!
Pi Estimator Github - A simple program to estimate Pi based on the number of test cases
mandelbrot-comparison
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Performance comparison/benchmark of raw computational power between 1.8 GHz Raspberry Pi 400 and 3.8 GHz Ryzen 9 3900X
$ git clone https://github.com/Toxe/mandelbrot-comparison.git $ cd mandelbrot-comparison $ mkdir build $ CC=gcc CXX=g++ CFLAGS=-march=native CXXFLAGS=$CFLAGS cmake -G Ninja -DCMAKE_BUILD_TYPE=Release -B build $ cmake --build build $ ./build/C++/mandelbrot_cpp 800 600 1000 50 -0.6906988741504118 0.4652112500501954 0.00000325 gradients/benchmark.gradient out.raw $ ./build/C++/mandelbrot_cpp_async 800 600 1000 50 -0.6906988741504118 0.4652112500501954 0.00000325 gradients/benchmark.gradient out.raw 4
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Mandelbrot with sfml. Github in comments.
It is based on a comparison project of mine where I have the same Mandelbrot algorithm/program in 5 different languages (C, C++, Python, PHP and Swift): https://github.com/Toxe/mandelbrot-comparison
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How much faster is C++ than Python?
In my experience by comparing the calculation of Mandelbrot fractals C++ was usually 60 to 80 times faster than Python.
What are some alternatives?
mandelbrot-sfml-imgui - Interactive multi-threaded C++ Mandelbrot renderer using SFML + ImGui running at constant 60 FPS
XaoS - Real-time interactive fractal zoomer
cvise - Super-parallel Python port of the C-Reduce
cxxmatrix - C++ Matrix: The Matrix Reloaded in Terminals (Number falls, Banners, Matrix rains, Conway's Game of Life and Mandelbrot set)
Mandelbrot
swapview-rosetta - Print swap usage per process. Implemented in various programming languages
timemory - Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.
Data-Structures-and-Algorithms - Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DSA. Give a Star 🌟 if it helps you.