Do you mean Synapse the Matrix server? In my experience, Conduit is much more efficient.
this post was submitted on 26 Mar 2025
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I'll be honest, this only matters when running single services that are very expensive. it's fine if your program can't be pararlelized if the OS does its job and spreads the love around the cpus
I prefer this default. Im sick of having to rein in Numba cores or OpenBlas threads or other out of control software that immediately tries to bottleneck my stack.
CGroups (Docker/LXC) is the obvious solution, but it shouldn't have to be
Python
..so.. so you made it single threaded?
all programs are single threaded unless otherwise specified.
It’s safe to assume that any non-trivial program written in Go is multithreaded
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Does Python have the ability to specify loops that should be executed in parallel, as e.g. Matlab uses parfor instead of for?
python has way too many ways to do that. asyncio, future, thread, multiprocessing...
Of the ways you listed the only one that will actually take advantage of a multi core CPU is multiprocessing
yup, that's true. most meaningful tasks are io-bound so "parallel" basically qualifies as "whatever allows multiple threads of execution to keep going". if you're doing numbercrunching in pythen without a proper library like pandas, that can parallelize your calculations, you're doing it wrong.
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I've always hated object oriented multi threading. Goroutines (green threads) are just the best way 90% of the time. If I need to control where threads go I'll write it in rust.
Are you still using matlab? Why? Seriously
I was telling a colleague about how my department started using Rust for some parts of our projects lately. (normally Python was good enough for almost everything but we wanted to try it out)
They asked me why we're not using MATLAB. They were not joking. So, I can at least tell you their reasoning. It was their first programming language in university, it's safer and faster than Python, and it's quite challenging to use.
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No, I'm not at university anymore.
Good for you
Poor prof
We weren't doing any ressource extensive computations with Matlab, mainly just for teaching FEM, as we've had an extensive collection of scripts for that purpose, and pre- and some post processing.
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