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JAVA Programming

What is the purpose of the wait and notify methods in Java for multithreaded programming and when are they used?

The wait() and notify() methods in Java are used for inter-thread communication, which allows threads to cooperate and synchronize with each other. The wait() method causes the current thread to wait until another thread calls the notify() method on the same object, while the notify() method wakes up a single thread that is waiting on the object.

The purpose of using the wait() and notify() methods is to avoid busy-waiting, where a thread repeatedly checks for a condition to become true, consuming CPU resources unnecessarily. Instead, a thread can wait for a condition to become true and be notified by another thread when the condition has been met.

Here is an example of how the wait() and notify() methods can be used in Java:

class Message {
    private String content;
    private boolean available = false;

    public synchronized String read() {
        while (!available) {
            try {
                wait();
            } catch (InterruptedException e) {}
        }
        available = false;
        notifyAll();
        return content;
    }

    public synchronized void write(String message) {
        while (available) {
            try {
                wait();
            } catch (InterruptedException e) {}
        }
        content = message;
        available = true;
        notifyAll();
    }
}

class Reader implements Runnable {
    private Message message;

    public Reader(Message message) {
        this.message = message;
    }

    public void run() {
        for (int i = 0; i < 10; i++) {
            System.out.println(Thread.currentThread().getName() + " read: " + message.read());
        }
    }
}

class Writer implements Runnable {
    private Message message;

    public Writer(Message message) {
        this.message = message;
    }

    public void run() {
        for (int i = 0; i < 10; i++) {
            message.write("Message " + i);
            System.out.println(Thread.currentThread().getName() + " wrote: " + "Message " + i);
        }
    }
}

public class Main {
    public static void main(String[] args) throws InterruptedException {
        Message message = new Message();
        Thread readerThread = new Thread(new Reader(message));
        Thread writerThread = new Thread(new Writer(message));
        readerThread.start();
        writerThread.start();
        readerThread.join();
        writerThread.join();
    }
}

In this example, we have a Message class that represents a message buffer that can be read from and written to by multiple threads. The read() and write() methods are synchronized, and use the wait() and notifyAll() methods to coordinate access to the content and available variables.

We also have a Reader class and a Writer class that both implement the Runnable interface and take a Message object as a parameter. The run() method of the Reader class reads from the Message object 10 times, while the run() method of the Writer class writes to the Message object 10 times.

In the Main class, we create a Message object and pass it to both the Reader and Writer objects. We then start the two threads and wait for them to complete using the join() method.

By using the wait() and notifyAll() methods to coordinate access to the Message object, we ensure that only one thread can read or write to the content variable at a time, preventing race conditions and ensuring the correctness of the program.

 

Can you explain the use of the java.util.concurrent package in Java for multithreaded programming and give an example?

The java.util.concurrent package in Java provides a set of classes and interfaces that make it easier to write multithreaded programs by providing higher-level abstractions for common concurrent programming patterns. This package includes classes for thread pools, concurrent collections, locks, and other utilities that can help you write more efficient and scalable multithreaded programs.

One of the key features of the java.util.concurrent package is the Executor framework, which provides a standardized way of executing tasks in parallel across multiple threads. Instead of explicitly creating and managing threads, you can submit tasks to an Executor instance, which manages a pool of threads and schedules tasks for execution.

Here is an example of using the java.util.concurrent package to create a simple program that computes the sum of an array of integers in parallel:

import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;

public class ParallelSum {
    public static void main(String[] args) throws Exception {
        int[] arr = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
        int nThreads = Runtime.getRuntime().availableProcessors();
        ExecutorService executor = Executors.newFixedThreadPool(nThreads);
        int chunkSize = arr.length / nThreads;
        int startIndex = 0;
        int endIndex = chunkSize;
        int sum = 0;
        Future<Integer>[] results = new Future[nThreads];
        for (int i = 0; i < nThreads; i++) {
            if (i == nThreads - 1) {
                endIndex = arr.length;
            }
            results[i] = executor.submit(new SumTask(arr, startIndex, endIndex));
            startIndex = endIndex;
            endIndex += chunkSize;
        }
        for (int i = 0; i < nThreads; i++) {
            sum += results[i].get();
        }
        executor.shutdown();
        System.out.println("Sum: " + sum);
    }
}

class SumTask implements Callable<Integer> {
    private int[] arr;
    private int startIndex;
    private int endIndex;

    public SumTask(int[] arr, int startIndex, int endIndex) {
        this.arr = arr;
        this.startIndex = startIndex;
        this.endIndex = endIndex;
    }

    public Integer call() throws Exception {
        int sum = 0;
        for (int i = startIndex; i < endIndex; i++) {
            sum += arr[i];
        }
        return sum;
    }
}

In this example, we first create an array of integers and determine the number of threads to use based on the number of available processors on the machine. We then create an ExecutorService instance with a fixed thread pool size and divide the array into chunks based on the number of threads.

We then submit a SumTask object to the ExecutorService for each chunk of the array. The SumTask class implements the Callable interface, which allows it to return a result when executed. Each SumTask object takes a portion of the array and computes the sum of the integers in that portion.

Finally, we wait for all the tasks to complete and collect their results using the Future interface. We then sum the results and print the final sum.

By using the Executor framework and the Callable interface, we can easily parallelize the computation of the sum of an array of integers and take advantage of multiple processors on the machine. This approach is more efficient and scalable than manually creating and managing threads, and can be applied to a wide range of parallel processing tasks.

What is the difference between parallel and concurrent programming in Java?

In Java, parallel programming and concurrent programming are related but distinct concepts.

Concurrent programming refers to the execution of multiple tasks or threads in a way that they can be interleaved or run concurrently, without necessarily executing in parallel. In other words, concurrent programming involves managing access to shared resources in a way that ensures correctness and prevents race conditions, while allowing multiple threads to make progress simultaneously.

Java provides several built-in mechanisms for concurrent programming, including the synchronized keyword for locking and mutual exclusion, the wait and notify methods for inter-thread communication, and the java.util.concurrent package for higher-level abstractions like thread pools and concurrent collections.

Parallel programming, on the other hand, refers to the execution of multiple tasks or threads simultaneously across multiple processors or cores, in order to achieve a performance gain by leveraging hardware concurrency. Parallel programming involves dividing a larger task into smaller sub-tasks that can be executed independently in parallel.

Java provides several mechanisms for parallel programming, including the java.util.concurrent package for parallel execution of tasks using thread pools, the java.util.stream package for parallel processing of collections, and the ForkJoinPool framework for parallel processing of recursive algorithms.

Questions on Chapter 12

Questions on Chapter 12

      

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