Re-posted from: http://www.stochasticlifestyle.com/differentialequations-jls-confederated-modular-api/
I wrote a manuscript describing DifferentialEquations.jl’s confederated modular API and its effect on the local scientific computing ecosystem. It’s now on Arxiv until we can find the right venue for it.
The post DifferentialEquations.jl's Confederated Modular API appeared first on Stochastic Lifestyle.
Re-posted from: https://white.ucc.asn.au/2018/07/14/Asynchronous-and-Distributed-File-Loading.html
Today we are going to look at loading large datasets in a asynchronous and distributed fashion.
In a lot of circumstances it is best to work with such datasets in an entirely distributed fashion,
but for this demonstration we will be assuming that that is not possible,
because you need to Channel it into some serial process.
But it doesn’t have to be the case.
Anyway, we use this to further introduce Channels and RemoteChannels.
I have blogged about Channels before,
you make wish to skim that first.
That article focused on single producer single consumer.
This post will focus on multiple producers, single consumer.
(though you’ll probably be able to workout multiple consumers from there, it is pretty semetrical).
Continue reading
I spent last week working on a new projet, which involved generating networks
with fixed structural properties. I experimented with some approaches, but
simulated annealing gave by far the best results. I thought it would be a nice
opportunity to aggregate some notes and code here. We will see the way
temperature decreases to constrain optimization, how to decide on accepting a
change of state as a function of temperature, and then an illustration on
species occurrence data.