LocalLAPACK mode in RowMatrix.computeSVD should have much smaller upper bound

In RowMatrix.computeSVD, under LocalLAPACK mode, the code would invoke brzSvd. Yet breeze svd for dense matrix has latent constraint. In it's implementation
( https://github.com/scalanlp/breeze/blob/master/math/src/main/scala/breeze/linalg/functions/svd.scala ):

val workSize = ( 3

• scala.math.min(m, n)
• scala.math.min(m, n)
  + scala.math.max(scala.math.max(m, n), 4 * scala.math.min(m, n)
• scala.math.min(m, n) + 4 * scala.math.min(m, n))
  )
  val work = new Array[Double](workSize)

as a result, column num must satisfy 7 * n * n + 4 * n < Int.MaxValue
thus, n < 17515.

This jira is only the first step. If possbile, I hope spark can handle matrix computation up to 80K * 80K.