Deserializing JSON Fast

• daw_json_link

  21 422 8.6 C++

  Fast, convenient JSON serialization and parsing in C++

Not Rust, but for C++ I have found a lot of memory and CPU perf can be realized by knowing what is being parsed into and using that. Most JSON parsing optimize on array/object/number/bool/null and not things like unsigned integer being much faster to parse than a float(floating point hit cpu bottlenecks around 1GB/s). Additionally, allowing for compile time options to further optimize is much easier. Essentially most JSON parsers are type erased. https://github.com/beached/daw_json_link

So this correlates with some of the findings the post has. One optimization that should show great promise is that if one knows that they have an array of some types like numbers/unsigned int/strings, that can greatly simplify and allow for SIMD'ification of it.

• sse2neon

  7 1,220 7.4 C++

  A translator from Intel SSE intrinsics to Arm/Aarch64 NEON implementation

  

I think the talk is very clearly laid out as an incremental journey, and each stepping stone involves contextual decision-making. I don't think Andreas is saying "you must end up with the SSE2 implementation at the end". Using machine-specific intrinsics is another dependency decision very similar to deciding to use a given library. I would have loved the talk and probably still thought of it and posted it, even if it ended before the intrinsics (but I think he does an excellent job at that part too).

And porting SSE2 to Neon is actually pretty easy -- if you use https://github.com/DLTcollab/sse2neon, IME it's very easy to do incrementally (or avoid or postpone indefinitely, depending on your needs).

• InfluxDB

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