fork-join

Can I use the work-stealing behaviour of ForkJoinPool to avoid a thread starvation deadlock?

青春壹個敷衍的年華 提交于 2019-11-29 20:01:39
A thread starvation deadlock occurs in a normal thread pool if all the threads in the pool are waiting for queued tasks in the same pool to complete. ForkJoinPool avoids this problem by stealing work from other threads from inside the join() call, rather than simply waiting. For example: private static class ForkableTask extends RecursiveTask<Integer> { private final CyclicBarrier barrier; ForkableTask(CyclicBarrier barrier) { this.barrier = barrier; } @Override protected Integer compute() { try { barrier.await(); return 1; } catch (InterruptedException | BrokenBarrierException e) { throw new

ForkJoinPool stalls during invokeAll/join

对着背影说爱祢 提交于 2019-11-29 14:41:10
问题 I try to use a ForkJoinPool to parallelize my CPU intensive calculations. My understanding of a ForkJoinPool is, that it continues to work as long as any task is available to be executed. Unfortunately I frequently observed worker threads idling/waiting, thus not all CPU are kept busy. Sometimes I even observed additional worker threads. I did not expect this, as I strictly tried to use non blocking tasks. My observation is very similar to those of ForkJoinPool seems to waste a thread. After

How to use MDC with ForkJoinPool?

£可爱£侵袭症+ 提交于 2019-11-29 14:19:50
问题 Following up on How to use MDC with thread pools? how can one use MDC with a ForkJoinPool ? Specifically, I how can one wrap a ForkJoinTask so MDC values are set before executing a task? 回答1: The following seems to work for me: import java.lang.Thread.UncaughtExceptionHandler; import java.util.Map; import java.util.concurrent.ForkJoinPool; import java.util.concurrent.ForkJoinTask; import java.util.concurrent.atomic.AtomicReference; import org.slf4j.MDC; /** * A {@link ForkJoinPool} that

Java ForkJoinPool with non-recursive tasks, does work-stealing work?

余生长醉 提交于 2019-11-29 05:20:26
问题 I want to submit Runnable tasks into ForkJoinPool via a method: forkJoinPool.submit(Runnable task) Note, I use JDK 7. Under the hood, they are transformed into ForkJoinTask objects. I know that ForkJoinPool is efficient when a task is split into smaller ones recursively. Question: Does work-stealing still work in the ForkJoinPool if there is no recursion? Is it worth it in this case? Update 1: Tasks are small and can be unbalanced. Even for strictly equal tasks, such things like context

Where does official documentation say that Java's parallel stream operations use fork/join?

浪尽此生 提交于 2019-11-28 21:13:01
Here's my understanding of the Stream framework of Java 8: Something creates a source Stream The implementation is responsible for providing a BaseStream#parallel() method, which in turns returns a Stream that can run it's operations in parallel. While someone has already found a way to use a custom thread pool with Stream framework's parallel executions, I cannot for the life of me find any mention in the Java 8 API that the default Java 8 parallel Stream implementations would use ForkJoinPool#commonPool() . ( Collection#parallelStream() , the methods in StreamSupport class, and others

Resources on the upcoming fork-join framework

青春壹個敷衍的年華 提交于 2019-11-28 20:38:35
问题 I'm looking for well organized information sources about how the upcoming jsr166y (fork-join, fences) and extras166y (ParallelArray, etc.) can be used - something from tutorial to expert level. 回答1: The IBM Developerworks website has a good series on this, but the most informative source I've found is this presentation by Brian Goetz, which is well worth an hour of your time. He spends the first 25 mins talking about the background, but then presents some great examples of the new framework.

Can I use the work-stealing behaviour of ForkJoinPool to avoid a thread starvation deadlock?

人走茶凉 提交于 2019-11-28 15:54:53
问题 A thread starvation deadlock occurs in a normal thread pool if all the threads in the pool are waiting for queued tasks in the same pool to complete. ForkJoinPool avoids this problem by stealing work from other threads from inside the join() call, rather than simply waiting. For example: private static class ForkableTask extends RecursiveTask<Integer> { private final CyclicBarrier barrier; ForkableTask(CyclicBarrier barrier) { this.barrier = barrier; } @Override protected Integer compute() {

Use fork-and-join in JDK6

 ̄綄美尐妖づ 提交于 2019-11-28 12:26:44
As I understand jdk7 has the support for fork-and-join, Can I use fork-and-join in JDK6 without upgraging to JDK7.0? Yup, see here - the package you want is jsr166y. 来源: https://stackoverflow.com/questions/8205874/use-fork-and-join-in-jdk6

ForkJoinPool seems to waste a thread

蹲街弑〆低调 提交于 2019-11-28 11:26:43
I'm comparing two variations on a test program. Both are operating with a 4-thread ForkJoinPool on a machine with four cores. In 'mode 1', I use the pool very much like an executor service. I toss a pile of tasks into ExecutorService.invokeAll . I get better performance than from an ordinary fixed thread executor service (even though there are calls to Lucene, that do some I/O, in there). There is no divide-and-conquer here. Literally, I do ExecutorService es = new ForkJoinPool(4); es.invokeAll(collection_of_Callables); In 'mode 2', I submit a single task to the pool, and in that task call

Observable.forkJoin and array argument

别等时光非礼了梦想. 提交于 2019-11-27 20:23:32
In the Observables forkJoin documentation, it says that args can be an array but it doesn't list an example doing so: https://github.com/Reactive-Extensions/RxJS/blob/master/doc/api/core/operators/forkjoin.md I have tried a function similar to what I listed (below) but came up with an error: :3000/angular2/src/platform/browser/browser_adapter.js:76 EXCEPTION: TypeError: Observable_1.Observable.forkJoin is not a function A sheared version of my function below: processStuff( inputObject ) { let _self = this; return new Observable(function(observer) { let observableBatch = []; inputObject.forEach