Add two block matrices in scala spark - scala

Question

We need to add two block matrices in scala spark don't use MR and take sparse matrices as input and convert them into block matrices and then perform block matrix addition on them.
I am just trying to do this like some sample code in spark scala.
import org.apache.spark._
import org.apache.spark.rdd._
import org.apache.spark.SparkContext
import org.apache.spark.SparkConf
object Add {
val rows = 100
val columns = 100
case class Block ( data: Array[Double] ) {
override
def toString (): String = {
var s = "\n"
for ( i <- 0 until rows ) {
for ( j <- 0 until columns )
s += "\t%.3f".format(data(i*rows+j))
s += "\n"
}
s
}
}
/* Convert a list of triples (i,j,v) into a Block */
def toBlock ( triples: List[(Int,Int,Double)] ): Block = {
/* ... */
}
/* Add two Blocks */
def blockAdd ( m: Block, n: Block ): Block = {
/* ... */
}
/* Read a sparse matrix from a file and convert it to a block matrix */
def createBlockMatrix ( sc: SparkContext, file: String ): RDD[((Int,Int),Block)] = {
/* ... */
}
def main ( args: Array[String] ) {
/* ... */
}
}