Comments (6)
mikiobraun
commented on May 31, 2024
Which version are you using? I actually think I've fixed this by having each process unpack into a temp directory.
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vimpagliazzo
commented on May 31, 2024
I am using 1.2.3. Shall I try to build from git tree?
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vimpagliazzo
commented on May 31, 2024
(IN fact I had a look at the code on github, and I noticed the temp directory creation, but being me not an expert on Windows development, I though windows was just messing things up...
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mikiobraun
commented on May 31, 2024
Oh, yeah, I've added the stuff just after the last release.
Just download, do a "mvn install" and use 1.2.4-SNAPSHOT as the new version number
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mikiobraun
commented on May 31, 2024
Maybe time to do another release ;)
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mikiobraun
commented on May 31, 2024
Alright, new release out. This should be fixed now!
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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
- Why jblas in different platform has huge different performance HOT 4
- 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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