Github user sethah commented on the issue:
https://github.com/apache/spark/pull/14937
@yanboliang I ran some tests on a 3 node bare-metal cluster, 144 cores, 384
gb ram on some dense synthetic data. I installed OpenBLAS customized for the
hardware on the nodes (I can confirm it's successfully using NativeBLAS, not
positive it's optimized though).
With this patch at first, I was seeing something like 10 minute iteration
times compared to master branch of ~30 seconds. After refactoring the code to
avoid some copying, I am still seeing about a 3-5x slowdown using this
approach. I am still working through some of the timings and I haven't done a
lot of experimentation with the block size. I will give more details at some
point. For now, I can point out that copying the center in
[here](https://github.com/yanboliang/spark/blob/1c31cda0f78b8c2b11406d76da447e9b3216a97d/mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala#L379)
seems to have a huge impact.
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