Ral*_*lph 2 concurrency scala simd actor
我需要并行处理多个数据值("SIMD").我可以使用java.util.concurrentAPI(Executors.newFixedThreadPool())使用Future实例以并行方式处理多个值:
import java.util.concurrent.{Executors, Callable}
class ExecutorsTest {
private class Process(value: Int)
extends Callable[Int] {
def call(): Int = {
// Do some time-consuming task
value
}
}
val executorService = {
val threads = Runtime.getRuntime.availableProcessors
Executors.newFixedThreadPool(threads)
}
val processes = for (process <- 1 to 1000) yield new Process(process)
val futures = executorService.invokeAll(processes)
// Wait for futures
}
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如何使用Actors做同样的事情?我不相信我想把所有进程"提供"给一个actor,因为actor会依次执行它们.
我是否需要使用"调度程序"actor创建多个"处理器"角色,该角色向每个"处理器"角色发送相同数量的进程?
Rex*_*err 10
如果您只是想要点火,那么为什么不使用Scala期货呢?
import scala.actors.Futures._
def example = {
val answers = (1 to 4).map(x => future {
Thread.sleep(x*1000)
println("Slept for "+x)
x
})
val t0 = System.nanoTime
awaitAll(1000000,answers: _*) // Number is timeout in ms
val t1 = System.nanoTime
printf("%.3f seconds elapsed\n",(t1-t0)*1e-9)
answers.map(_()).sum
}
scala> example
Slept for 1
Slept for 2
Slept for 3
Slept for 4
4.000 seconds elapsed
res1: Int = 10
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基本上,你所做的只是将你想要的代码放在一个future { }块中,它会立即返回一个未来; 应用它来获得答案(它将阻止直到完成),或者使用awaitAll超时等待每个人都完成.
更新:从2.11开始,实现此目的的方法是scala.concurrent.Future.上述代码的翻译是:
import scala.concurrent._
import duration._
import ExecutionContext.Implicits.global
def example = {
val answers = Future.sequence(
(1 to 4).map(x => Future {
Thread.sleep(x*1000)
println("Slept for "+x)
x
})
)
val t0 = System.nanoTime
val completed = Await.result(answers, Duration(1000, SECONDS))
val t1 = System.nanoTime
printf("%.3f seconds elapsed\n",(t1-t0)*1e-9)
completed.sum
}
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