timemory
mandelbrot-comparison
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timemory | mandelbrot-comparison | |
---|---|---|
6 | 4 | |
343 | 12 | |
1.5% | - | |
0.0 | 1.8 | |
5 months ago | about 1 year ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
timemory
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Best way to track cpu and i/o time?
timemory is my recommendation as the backend if you want to build something custom
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Proposal Idea: Make `= auto` like `= default` except that it is an error if the member cannot be generated
Just write a macro
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jrmadsen/compile-time-perf -- High-level compilation overhead metrics
Anybody that's done it before on Windows could probably get a prototype ready in an hour or two bc it already supports not using fork -- there's a timem-mpi exe built from the same source that uses MPI_Comm_spawn_multiple instead of fork bc OpenMPI will seg-fault when you fork inside a rank.
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Is there a way to get the type from type_index?
example enum #1 example usage #1.1 example usage #1.2
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Advice for Intermediate/Advance C++ Developer
This can as simple as using a command-line tool like time) or timem
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?
psychec - A compiler frontend for the C programming language
mandelbrot-sfml-imgui - Interactive multi-threaded C++ Mandelbrot renderer using SFML + ImGui running at constant 60 FPS
kokkos-python - Python bindings for data interoperability with Kokkos (View, DynRankView)
XaoS - Real-time interactive fractal zoomer
dmtcp - DMTCP: Distributed MultiThreaded CheckPointing
cvise - Super-parallel Python port of the C-Reduce
cpk - Light and fast package manager on C/C++ for C/C++/Python/Rust/Js packages
cxxmatrix - C++ Matrix: The Matrix Reloaded in Terminals (Number falls, Banners, Matrix rains, Conway's Game of Life and Mandelbrot set)
compile-time-perf - Measures high-level timing and memory usage metrics during compilation
Mandelbrot
EPIJudge - EPI Judge - Preview Release
swapview-rosetta - Print swap usage per process. Implemented in various programming languages