As part of an explanation of Julia’s import in facilitating & speeding the process of bringing someone on into an ongoing larger project and getting them up to speed, I am looking for examples of the same function written in C++ or Fortran (recent versions of each) and written in Julia. Helpful ex…

I have created a repository for this purpose (with the understanding that it may be transferred at a later date). Any member of the community who would like commit privileges can have them – just ask me on this thread https://github.com/JeffreySarnoff/ComparisonsWithJulia/issues/1

I would not do that. Old fortran code is not applicable here. These are intended for visual comparison, others with real (modern) Fortran/C++ expertise have worked through and published careful comparative benchmarking results. One focused on communication: http://hunoldscience.net/paper/julia_hpc…

An example I posted on Facebook a while ago to show how nice Julia is: C++ #include <boost/random/poisson_distribution.hpp> #include <boost/random/variate_generator.hpp> #include <boost/random/mersenne_twister.hpp> #include <vector> using boost; using std; void create_poisson_vec(vector<int> & r…

Would someone take a look at the foregoing C++ and let us know if alterations should be made to reflect current use and practice?

I think sampling from the poisson distribution can nowadays be done with the C++ std. Not that this any less convoluted: https://en.cppreference.com/w/cpp/numeric/random/poisson_distribution

[image] Juliet: Could you expand on “switching from Float64 to Float32 or BigFloat” feature? A nice example just popped up here :slight_smile: [image] I can't get to the "end of inflation" with DifferentialEquations.jl Performance @ChrisRackauckas @ctkelley Problem …

@Juliet I didn’t put in that thread how it looked in the end Writing it as the following meant that the solver couldn’t handle some very rapid growth on v. uih = [v0;β0;ϕ0;p0] tspan = (0.0,3000.0) prob = ODEProblem(geometria,big.(uih),tspan) sol = DifferentialEquations.solve(prob,alghints=[:stiff…

The key here being that you could easily switch the type of the parameters in your problem to BigFloat and then the ODE library was able to solve the problem with a higher precision. An ODE library written in fortran would have to provide explicit support for solving problems with BigFloat, whereas …

looks fine(not knowing the API’s) to me but is missing an end bracket to close the function. It’s pretty common for people to make a header and a cpp file - but the example still stands. About to put a series of a few simple examples up (2 files + 1 small written exposition).

[image] anon92994695: looks fine(not knowing the API’s) to me but is missing an end bracket to close the function. Scroll down a bit, it’s hidden due to limited text box size. In any case my example still uses boost and as @simonschoelly said this stuff is in std nowadays, so I (or someone el…

Julia fn clearer than C++/Fortran (examples sought)

General Usage

baggepinnen November 26, 2020, 1:12pm 14

A nice example just popped up here

Topic		Replies	Views
Do C++ performance optimisations apply to Julia? Performance	28	2873	June 25, 2022
Programming Language Benchmark 2 Performance	25	4020	April 8, 2024
Julia vs C++ speed General Usage performance , c	21	4880	September 2, 2021
Fortran vs Julia stack allocated arrays Performance array , memory-allocation	18	6687	November 29, 2018
Nice blogpost comparing Julia w/ 6 other languages to solve a Logistic DE New to Julia	24	1638	May 26, 2022

Julia fn clearer than C++/Fortran (examples sought)

Related topics