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by nextos 3066 days ago
I think that's spot on. I coded quite a lot of C++ in the early 2000s. Now I'm considering to jump onboard again. C++11 and successors are almost a different language.

More importantly, for my niche I don't see anything that can readily replace C++. Rust has very little support for scientific computing. Julia is great, and will replace my high level statistical inference code, but it's not designed to let me design low-level close-to-the-metal data structures. Scala has memory issues, which will be hopefully less problematic once value types are implemented in the JVM. OCaml and F# look interesting, I haven't evaluated these carefully.
2 comments
poster123 3066 days ago
If you are doing scientific computing, have you considered Fortran? The gfortran (GCC Fortran) compiler supports Fortran 2003, which has object-oriented features, and since Fortran 90 the language has had array operations and syntax similar to Matlab or Python with numpy.
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nextos 3066 days ago
I'm not a big fan of Fortran for my particular domain, which includes lots of strings (biological sequences). Here Fortran is not as quick. See for example the k-nucleotide benchmark:

https://benchmarksgame.alioth.debian.org/u64q/performance.ph...

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pjmlp 3066 days ago
I worked with a customer that was using .NET for DNA sequencing.

Not sure what tricks they pulled off regarding unsafe code and parallelism, but it was fully done in C#.

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vram22 3066 days ago
What are Scala's memory issues?
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