I have received some queries from coworkers about Julia’s memory overhead. Members of our HPC team have expressed concern that Julia seems to eat about 160-200MB of RAM per Julia session (our current deployment model is to run many single-thread jobs on AWS nodes with relatively small RAM, and addit…

This is getting a lot of likes but no answers, suggesting it’s a common question. If you don’t get a response here, maybe open an issue on github? Not that github issues are meant for Q&A, but I think Julia having a huge memory footprint is a legitimate issue. This has affected me; I wanted to use J…

The solution to this would be making julia base more modular, which is the plan of https://github.com/JuliaLang/julia/issues/5155

Back over a year ago, I had a branch of v0.4 ( https://github.com/ScottPJones/julia/tree/spj/lite ) that allowed you to build Julia removing various parts, even up to removing docs, help, and the REPL (which use up a lot of memory, and are not needed to run a non-interactive script). It also made bui…

Thanks guys for the responses. I thought this might still be a work-in-progress, so it seems likely to be better in the future. I look forward to seeing your v0.6 branch, Scott. And yes, the code in Base isn’t quite as modular as I imagined it would be. I have been working my way through LinAlg lat…

Julia memory overhead

General Usage

tknopp February 5, 2017, 1:01pm 6

Quick and dirty splitting off BLAS should be doable by commenting things out.

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Julia memory overhead

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