What are the thread pool optimization strategies in Java parallel programming?

Thread pool optimization strategy: adjust the number of core threads and the maximum number of threads to match the workload of the application; adjust the thread survival time to prevent idle threads from occupying resources for a long time; in real-time cases, by adjusting the number of core threads from 10 is 4, reducing the execution time from 52.3 seconds to 2.75 seconds; other optimization strategies include thread pool size adjustment, queue adjustment, rejection policy optimization and timeout mechanism.

Thread pool optimization strategy in Java parallel programming

Thread pool is an important mechanism for managing threads in Java parallel programming , you can improve application performance by optimizing the thread pool. The following are some common thread pool optimization strategies:

//创建一个线程池
ExecutorService executorService = Executors.newFixedThreadPool(numThreads);

//调整核心线程数和最大线程数
executorService = Executors.newFixedThreadPool(minThreads, maxThreads);

//调整线程存活时间
executorService = Executors.newFixedThreadPool(numThreads, 60L, TimeUnit.SECONDS);

Practical case:

Consider a multi-threaded application with the following characteristics:

• Number of tasks: 10000
• Task type: Computationally intensive, each task takes 1 second to execute
• Number of available cores: 4

Use the default thread pool ( 10 core threads), it takes 52.3 seconds to complete the task.

By adjusting the number of core threads to 4, the execution time is reduced to 2.75 seconds.

//创建一个具有4个核心线程的线程池
ExecutorService executorService = Executors.newFixedThreadPool(4);

//提交任务
for (int i = 0; i < numTasks; i++) {
    executorService.submit(new Task());
}

//关闭线程池
executorService.shutdown();

Other optimization strategies:

• Thread pool size adjustment: Dynamically adjust the thread pool size based on workload to optimize resource utilization Rate.
• Queue adjustment: Adjust the queue size and type in the thread pool to manage waiting tasks and prevent blocking.
• Rejection strategy optimization: When submitting new tasks, if the thread pool is full, specify a rejection strategy to handle these tasks.
• Timeout mechanism: Set the task timeout mechanism to prevent threads from blocking for a long time.

The above is the detailed content of What are the thread pool optimization strategies in Java parallel programming?. For more information, please follow other related articles on the PHP Chinese website!