On Monday, 29 August 2016 at 14:55:50 UTC, Seb wrote:
On Monday, 29 August 2016 at 14:43:08 UTC, Steinhagelvoll wrote:
It is quite surprising that there is this much of a
difference, even when all run sequential. I believe this might
be specific to this small problem.
You should definitely have a look at this benchmark for matrix
multiplication across a many languages:
https://github.com/kostya/benchmarks#matmul
With the recent generic GLAS kernel in mir, matrix
multiplication in D is the blazingly fast (it improved the
existing results by at least 8x).
Please not that this requires the latest LDC beta with includes
the fastMath pragma and GLAS is still under development at mir:
https://github.com/libmir/mir
It not really about multiplying matrices. I wanted to see how D
compares for different tasks. If I actually want to do matrix
multiplication I will use LAPACK or something of that nature.
In this task the difference was much bigger compared to e.g.
prime testing, which was about even.
