Computing in Operations Research using Julia · HackerPapers discussions

Computing in Operations Research using Julia — mentioned by tavert

Wed, 09 Nov 2016 14:06:50 GMT

> Imagine if you did dev on Julia - how do you hire devs? Julia doesn't take long to learn if you've ever written any Python, or Matlab, or R. It's very good at calling into existing code written in other languages (the above, and C) so it's possible to transition gradually. > I'm also curious to know 'how much faster' it is - couldn't those performance problems be solved with more horsepower? Depends on the exact type of computation. If everything you're doing is straight BLAS/LAPACK or other library calls, then Python is just glue code and not taking much of the time. If you're implementing…

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Computing in Operations Research using Julia — mentioned by mlubin

Thu, 01 Oct 2015 02:55:10 GMT

If you're interested in model generation time, have a look at JuMP (https://github.com/JuliaOpt/JuMP.jl). More discussions on the speed of modeling languages at http://arxiv.org/abs/1312.1431 and http://arxiv.org/abs/1508.01982

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Computing in Operations Research using Julia — mentioned by idunning

Sun, 01 Jun 2014 05:34:04 GMT

The language I used, JuMP [1], is quite similar to AMPL. In fact in [2] we do performance comparisons with it. Check it out if you have a chance. [1] https://github.com/JuliaOpt/JuMP.jl [2] http://arxiv.org/abs/1312.1431

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Computing in Operations Research using Julia — mentioned by idunning

Wed, 12 Mar 2014 01:48:03 GMT

Very cool. We had a similar experience when implementing the Simplex method for linear optimization, except we evaluated PyPy versus Julia instead of Cython. Its similar in that it benchmarks "just" the language, not BLAS, which is common pitfall I see when people compare the two. I guess at this point, a year or so later, it isn't surprising to me anymore that Julia is as fast as it is for these sorts of computational tasks - its been demonstrated pretty comprehensively at this point. Slides: http://www.mit.edu/~mlubin/informs2013.pdf Paper: http://arxiv.org/abs/1312.1431

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