MIR vs. Numpy

9il ilyayaroshenko at gmail.com
Wed Nov 18 15:34:15 UTC 2020

On Wednesday, 18 November 2020 at 10:05:06 UTC, Tobias Schmidt 
> Dear all,
> to compare MIR and Numpy in the HPC context, we implemented a 
> multigrid solver in Python using Numpy and in D using Mir and 
> perforemd some benchmarks with them.
> You can find our code and results here:
> https://github.com/typohnebild/numpy-vs-mir
> Feedback is very welcome. Please feel free to open issues, pull 
> requests or simply post your thoughts below.
> Kind regards,
> Tobias

Thank you a lot! It is a huge benefit for Mir and D to have so 
quality benchmarks.

Python's sweep_3D access memory only once for one element 
computation, while old D's sweep_slice access it 7 times.

A PR [1] for new version of sweep_slice was added, I expect it 
will be at least twice faster. The new sweep_slice uses a more 
D'sh approach and single memory access to the computation element.

[1] https://github.com/typohnebild/numpy-vs-mir/pull/1


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