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https://issues.apache.org/jira/browse/SPARK-3403?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14122699#comment-14122699
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Alexander Ulanov edited comment on SPARK-3403 at 9/5/14 9:53 AM:
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I managed to compile OpenBLAS with MINGW64 and `USE_THREAD=0`. I got single
threaded dll. With this dll my tests didn't fail and seem to be executed
properly. Thank you for suggestion!
1)Do you think that the same issue will remain in Linux?
2)What are the performance implications when using single threaded OpenBLAS
through breeze?
3)I didn't get any performance improvements with native libraries versus java
arrays. My matrices are of size up to 10K-20K . Is it supposed to be so?
was (Author: avulanov):
I managed to compile OpenBLAS with MINGW64 and `USE_THREAD=0`. I got single
threaded dll. With this dll my tests didn't fail and seem to be executed
properly. Thank you for suggestion!
1)Do you think that the same issue will remain in Linux?
2)What are the performance implications when using single threaded OpenBLAS
through breeze?
> NaiveBayes crashes with blas/lapack native libraries for breeze (netlib-java)
> -----------------------------------------------------------------------------
>
> Key: SPARK-3403
> URL: https://issues.apache.org/jira/browse/SPARK-3403
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.0.2
> Environment: Setup: Windows 7, x64 libraries for netlib-java (as
> described on https://github.com/fommil/netlib-java). I used OpenBlas x64 and
> MinGW64 precompiled dlls.
> Reporter: Alexander Ulanov
> Fix For: 1.1.0
>
> Attachments: NativeNN.scala
>
>
> Code:
> val model = NaiveBayes.train(train)
> val predictionAndLabels = test.map { point =>
> val score = model.predict(point.features)
> (score, point.label)
> }
> predictionAndLabels.foreach(println)
> Result:
> program crashes with: "Process finished with exit code -1073741819
> (0xC0000005)" after displaying the first prediction
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