Hi Rajesh,
FYI, we are developing our own version of BIDMach integration with
Spark, and achieving large gains over Spark MLLib for both CPU and GPU
computation. You can find the project here:
https://github.com/BIDData/BIDMach_Spark
I'm not sure I follow your comment "However, I think compari
Hi all,
(I'm author of netlib-java)
Interesting to see this discussion come to life again.
JNI is quite limiting: pinning (or critical array access) essentially
disables the GC for the whole JVM for the duration of the native call. I
can justify this for CPU heavy tasks because frankly there are
