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Diffstat (limited to 'test/benchmarks/src/scala/collection/parallel/benchmarks/hashtries/ParallelHashTries.scala')
-rw-r--r-- | test/benchmarks/src/scala/collection/parallel/benchmarks/hashtries/ParallelHashTries.scala | 180 |
1 files changed, 0 insertions, 180 deletions
diff --git a/test/benchmarks/src/scala/collection/parallel/benchmarks/hashtries/ParallelHashTries.scala b/test/benchmarks/src/scala/collection/parallel/benchmarks/hashtries/ParallelHashTries.scala deleted file mode 100644 index dc8804cf57..0000000000 --- a/test/benchmarks/src/scala/collection/parallel/benchmarks/hashtries/ParallelHashTries.scala +++ /dev/null @@ -1,180 +0,0 @@ -package scala.collection.parallel.benchmarks.hashtries - - - - -import scala.collection.parallel.benchmarks.generic.StandardParIterableBenches -import scala.collection.parallel.benchmarks.generic.Dummy -import scala.collection.parallel.benchmarks.generic.Operators -import scala.collection.parallel.immutable.ParHashMap - - - - - -trait ParHashTrieBenches[K, V] extends StandardParIterableBenches[(K, V), ParHashMap[K, V]] { - - def nameOfCollection = "immutable.ParHashMap" - def comparisonMap = collection.Map() - val forkJoinPool = new scala.concurrent.forkjoin.ForkJoinPool - - object Map2 extends IterableBenchCompanion { - override def defaultSize = 5000 - override def comparisons = List("jhashtable", "hashtable") - def benchName = "map2"; - def apply(sz: Int, p: Int, w: String) = new Map2(sz, p, w) - } - - class Map2(val size: Int, val parallelism: Int, val runWhat: String) - extends IterableBench { - var result: Int = 0 - def comparisonMap = collection.Map("jhashtable" -> runjhashtable _, "hashtable" -> runhashtable _) - def runseq = { - val r = this.seqcoll.asInstanceOf[collection.immutable.HashMap[K, V]].map(operators.mapper2) - result = r.size - } - def runpar = { - result = this.parcoll.map(operators.mapper2).size - } - def runjhashtable = { - val jumap = new java.util.HashMap[K, V]() - val it = this.seqcoll.iterator - while (it.hasNext) { - val p = it.next - jumap.put(p._1, p._2) - } - result = jumap.size - } - def runhashtable = { - val smap = collection.mutable.HashMap[K, V]() - val it = this.seqcoll.iterator - while (it.hasNext) { - val p = it.next - smap.put(p._1, p._2) - } - result = smap.size - } - override def reset = runWhat match { - case "jhashtable" => this.seqcoll = createSequential(size, parallelism) - case "hashtable" => this.seqcoll = createSequential(size, parallelism) - case _ => super.reset - } - def companion = Map2 - override def repetitionsPerRun = 50 - override def printResults { - println("Size of last result: " + result) - } - } - - object Reduce2 extends IterableBenchCompanion { - override def defaultSize = 50000 - override def comparisons = List("hashtable") - def benchName = "reduce2"; - def apply(sz: Int, p: Int, w: String) = new Reduce2(sz, p, w) - } - - class Reduce2(val size: Int, val parallelism: Int, val runWhat: String) - extends IterableBench { - private var ht: collection.mutable.HashMap[K, V] = _ - def comparisonMap = collection.Map("hashtable" -> runhashtable _) - def runseq = this.seqcoll.reduceLeft(operators.reducer) - def runpar = this.parcoll.reduce(operators.reducer) - def runhashtable = ht.reduceLeft(operators.reducer) - override def reset = runWhat match { - case "hashtable" => ht = createHashTable(size) - case _ => super.reset - } - def companion = Reduce2 - } - - def createHashTable(sz: Int): collection.mutable.HashMap[K, V] - -} - - - - - -object RefParHashTrieBenches extends ParHashTrieBenches[Dummy, Dummy] { - - type DPair = (Dummy, Dummy) - - object operators extends Operators[DPair] { - def gcd(a: Int, b: Int): Int = { - val result = if (b == 0) a else { - gcd(b, a - b * (a / b)) - } - result + 1000 - } - def heavy(a: Int): Int = { - var i = 0 - var sum = a - while (i < 3000) { - i += 1 - sum += a + i - } - sum - } - val foreachFun = (t: DPair) => { - t - () - } - val reducer = (x: DPair, y: DPair) => { - //y._2.num = x._2.in + y._2.in - y - } - val mediumreducer = (x: DPair, y: DPair) => { - y._2.num = gcd(x._2.in, y._2.in) - y - } - val filterer = (p: DPair) => { - p._1.num % 2 == 0 - } - val mapper = (p: DPair) => { - val a = p._1 - a.num = a.in % 2 - (a, p._2) - } - val flatmapper = (p: DPair) => { - List(p, p, p, p, p) - } - override val mapper2 = (p: DPair) => { - val a = 1 //heavy(p._1.in) - (new Dummy(p._1.in * -2 + a), p._2) - } - val heavymapper = (p: DPair) => { - val a = p._1 - var i = -100 - while (i < 0) { - if (a.in < i) a.num += 1 - i += 1 - } - (a, p._2) - } - val taker = (p: DPair) => true - val eachFun: DPair => Unit = { dp => - dp._1.dummy - } - } - - def createSequential(sz: Int, p: Int) = { - var ht = new collection.immutable.HashMap[Dummy, Dummy] - for (i <- 0 until sz) ht += ((new Dummy(i), new Dummy(i))) - ht - } - - def createParallel(sz: Int, p: Int) = { - var pht = new ParHashMap[Dummy, Dummy] - for (i <- 0 until sz) pht += ((new Dummy(i), new Dummy(i))) - forkJoinPool.setParallelism(p) - collection.parallel.tasksupport.environment = forkJoinPool - pht - } - - def createHashTable(sz: Int) = { - val hm = collection.mutable.HashMap[Dummy, Dummy]() - for (i <- 0 until sz) hm.put(new Dummy(i), new Dummy(i)) - hm - } - -} |