Why jblas in different platform has huge different performance

[pep-pig]

recently i met a puzzle.
when i solve a linearSystem use

Solve.solveSymetric()

I record the CPU information ,platform information and the time:

On Centos7 64bit	Intel(R) Xeon(R) Gold 6149 CPU @ 3.10GHz
float	double
35000ms	62000ms

On windows10 64bit	Intel(R) Core(TM) i5-6500 CPU @ 3.20GHz 3.19GHz
float	double
14000ms	17500ms

1.It shown that there is not much difference between float and double on windows,but on linux float version runs at twice the speed of the double version.
2.the float version on windows runs at least twice the speed on linux.

I think there is not much different between the CPU on Linux and on Windows.
I have no idea how does this happened? Do you have any idea?

[mikiobraun]

Hey vonlippmann,

the libraries used on windows and Linux are quite different... . I am surprised, too, the Windows ones should actually be slower, not faster! 🤔

[pep-pig]

Yesterday ,I made a new experience,I installed a virtual machine on windows ,and run the same program in virtual Linux and windows separately ,it appears the same situation .the time in virtual linux is the same with real linux in another computer I mentioned before And is much more slower than windows .

[pep-pig]

There must be something wrong , believe it or not

[mikiobraun]

I plan to move everything to openblas which should also vastly improve the performance on Windows... .

But let me check what happens if I use it on a VM on Windows, too.