Github user fommil commented on the pull request:

    https://github.com/apache/spark/pull/4448#issuecomment-73370865
  
    @srowen I can guess at the history. `netlib-java` used to require that 
users compile their own natives but, inspired by JBLAS, about 2 years ago I did 
a big spike and beat Maven into submission to cross-build for all major 
platforms (and some small ones too, like the Raspberry Pi) making it super-easy 
for end users. At that point, I sort of feel that JBLAS has reached the end of 
its shelf life but I don't know what other features it offers. The release 
process for netlib-java is still a nightmare, thanks to OS X, but that doesn't 
affect you at all... it is my cross to bare.
    
    I've done a **lot** of work benchmarking different BLAS/LAPACK routines 
(and Intel provide me with a gratis license, bless their souls, to aid with 
this) as well as other mathematics routines. I **strongly** recommend you watch 
my ScalaX talk to get a feel for what is behind this.
    
    I would also like to use the same maven build process to make more 
natively-enhanced mathematics routines available on the JVM (with a Java 
fallback, always), such as the random number generators that we use extensively 
in the financial services / investment sector. That's typically the bottleneck 
in option pricing (i.e. Black-Scholes) for example.



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