我猜最接近的是：
ExecutorService exec = Executors.newFixedThreadPool(SOME_NUM_OF_THREADS);try { for (final Object o : list) { exec.submit(new Runnable() { @Override public void run() { // do stuff with o. } }); }} finally { exec.shutdown();}根据TheLQ的评论，您可以将SUM_NUM_THREADS设置为
Runtime.getRuntime().availableProcessors();
编辑：决定添加一个基本的“ Parallel.For”实现
public class Parallel { private static final int NUM_CORES = Runtime.getRuntime().availableProcessors(); private static final ExecutorService forPool = Executors.newFixedThreadPool(NUM_CORES * 2, new NamedThreadFactory("Parallel.For")); public static <T> void For(final Iterable<T> elements, final Operation<T> operation) { try { // invokeAll blocks for us until all submitted tasks in the call complete forPool.invokeAll(createCallables(elements, operation)); } catch (InterruptedException e) { e.printStackTrace(); } } public static <T> Collection<Callable<Void>> createCallables(final Iterable<T> elements, final Operation<T> operation) { List<Callable<Void>> callables = new linkedList<Callable<Void>>(); for (final T elem : elements) { callables.add(new Callable<Void>() { @Override public Void call() { operation.perform(elem); return null; } }); } return callables; } public static interface Operation<T> { public void perform(T pParameter); }}Parallel.For的示例用法
// Collection of items to process in parallelCollection<Integer> elems = new linkedList<Integer>();for (int i = 0; i < 40; ++i) { elems.add(i);}Parallel.For(elems, // The operation to perform with each item new Parallel.Operation<Integer>() { public void perform(Integer param) { System.out.println(param); };});我想这个实现实际上更类似于Parallel.ForEach
编辑
如果有人有兴趣，我将其放在GitHub上。在GitHub上并行
