Parallel Experiment part one

CompanionData.scala

object Data {
  def apply(n:Int):List[Data] = {
    val r = new Random
    val lists = for { i <- 0 to n } yield new Data(r.nextInt(10000), r.nextInt(10000))
    lists.toList
  }
}

Computation.scala

trait Computation {
  def f(data:Data):Int =  {
    Thread.sleep(10)
    data.a + data.b
  }
  def compute(list:List[Data]):Int
}

Data.scala

class Data(val a:Int = 0 , val b:Int = 0)

Experiment.scala

object ParallelExperiment {
  def main(args: Array[String]) {
    val list = Data(args(0).toInt)
    var t1 = currentTimeMillis()
    SequentialImplementation.compute(list)
    var t2 = currentTimeMillis()
    println("Sequential " + (t2-t1) + " (ms)")
    t1 = currentTimeMillis()
    ParallelImplementation.compute(list)
    t2 = currentTimeMillis()
    println("Parallel " + (t2-t1) + " (ms)")
  }
}

Implementations.scala

object SequentialImplementation extends Computation {
  def compute(list:List[Data]):Int = list.map{f}.max
}

object ParallelImplementation extends Computation {
  def compute(list:List[Data]):Int = list.par.map{f}.par.max
}