Comments (4)
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! 🤔
from jblas.
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 .
from jblas.
There must be something wrong , believe it or not
from jblas.
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.
from jblas.
Related Issues (20)
- GPU-support for JBLAS
- Compiling 64 bit windows is now possible using cygwin? HOT 2
- Name of automatic module 'jblas' is unstable, it is derived from the module's file name. HOT 3
- Add xGETRF/xGETRS HOT 1
- Update dependency on libgfortran3 HOT 12
- LAPACK 3.3.0 Bug: "XERBLA: Error on argument -1 for *unknown function* DLASD8 (how odd!)" HOT 4
- Move every platform to openblas
- Get FORTRAN function signatures from files, not lapack-lite
- JAR download for JBLAS 1.2.5 HOT 8
- Logical error of function nei HOT 2
- Implement four-quadrant inverse tangent HOT 1
- I did some benchmark somehow the matrix mul performs consistently slower than java ojalgo. HOT 7
- [FreeBSD] `mmul` and Execution error (UnsatisfiedLinkError) at org.jblas.NativeBlas/dgemm HOT 24
- Must use GetPrimitiveArrayCritical instead of Get<type>ArrayElements for better performance HOT 1
- Add rmmuli
- Cannot compile with latest version of LAPACK (3.10) on Windows 10 HOT 1
- JDK crash multithreading HOT 1
- Can't Compile With Latest Version 3.10.0 On Mac Monterey With M1 HOT 3
- mat-mul error on an M3 HOT 1
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from jblas.