Simulate.jl provides three schemes for modeling and simulating discrete event systems (DES): 1) event scheduling, 2) interacting processes and 3) continuous sampling. It introduces a clock and allows to schedule arbitrary Julia functions or expressions as events, processes or sampling operations on …

Have you done performance compared to SimPy or other DES frameworks? Is the process-oriented part of this based on Julia’s builtin coroutines (Task) and just using wait and Condition under the hood? If so this is very exciting! Building something like that has been on my personal list of things to…

I didn’t take performance measurements. My first experiments showed simulations in a Julia framework much faster than in Python/SimPy – to no surprise. The process-oriented part of Simulate.jl is only a few lines of code using Julia Tasks reading and writing on Channels and of course yield, which w…

Would you be interested in including some benchmarking results in the docs if I do some conparisons later?

Does Simulate.jl support multi-core parallel calculation? Some benchmarck comparison with SimJulia.jl and EventSimulation.jl would be very useful.

@non-Jedi : It would be useful to have benchmarking results and they should be also in the docs. Until now my focus was mainly to get it running. I am sure that things can be further sped up. Benchmarks could be useful for improvement too. @zhangliye : until now I did entire simulations in parallel w…

I’d like to suggest you rename the package DiscreteEvent.jl or DiscreteEventSimulate.jl. There are a whole lot of other systems that can be simulated computatoinally: differential equations, partial differential equations, chemical reactions, planetary disc accretion, global weather and climate mod…

Thanks, you are right. I particularly like DiscreteEvent.jl. I opened an issue .

I am rewriting a traffic simulation platform which is currently using SimJulia.jl and want to compare the efficiency. Simulate.jl has good documentation. However, for the users of SimPy or SimJulia, it is difficult to find the some familiar concepts such as Resource and Resource Consumption in the m…

Simulate.jl has no resource concept since this can easily expressed as token in a Channel of native Julia. The SimPy example thus becomes in Simulate.jl: using Simulate, Printf struct Cable end # a cable is the resource of the battery charging station bcs function car(env::Clock, name::String,…

Simulate v0.2.0, a Julia package for discrete event simulation

Package Announcements

zhangliye December 21, 2019, 1:52am 7

It would be cool if Simulate.jl supports parallel simulation as discussed Does SimJulia support parallel computation? - #7 by bkamins I will have a try. Thanks!

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Simulate v0.2.0, a Julia package for discrete event simulation

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