forked from deeplearning4j/deeplearning4j
/
MultiThreadUtils.java
64 lines (56 loc) · 2.18 KB
/
MultiThreadUtils.java
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/*-
*
* * Copyright 2015 Skymind,Inc.
* *
* * Licensed under the Apache License, Version 2.0 (the "License");
* * you may not use this file except in compliance with the License.
* * You may obtain a copy of the License at
* *
* * http://www.apache.org/licenses/LICENSE-2.0
* *
* * Unless required by applicable law or agreed to in writing, software
* * distributed under the License is distributed on an "AS IS" BASIS,
* * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* * See the License for the specific language governing permissions and
* * limitations under the License.
*
*/
package org.deeplearning4j.clustering.util;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.threadly.concurrent.PriorityScheduler;
import org.threadly.concurrent.wrapper.compatibility.PrioritySchedulerServiceWrapper;
import java.util.List;
import java.util.concurrent.*;
public class MultiThreadUtils {
private static Logger log = LoggerFactory.getLogger(MultiThreadUtils.class);
private MultiThreadUtils() {}
public static ExecutorService newExecutorService() {
int nThreads = Runtime.getRuntime().availableProcessors();
return new PrioritySchedulerServiceWrapper(new PriorityScheduler(nThreads));
}
public static void parallelTasks(final List<Runnable> tasks, Executor executorService) {
int tasksCount = tasks.size();
final CountDownLatch latch = new CountDownLatch(tasksCount);
for (int i = 0; i < tasksCount; i++) {
final int taskIdx = i;
executorService.execute(new Runnable() {
public void run() {
try {
tasks.get(taskIdx).run();
} catch (Throwable e) {
log.info("Unchecked exception thrown by task", e);
} finally {
latch.countDown();
}
}
});
}
try {
latch.await();
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
throw new RuntimeException(e);
}
}
}