{"id":73,"date":"2025-04-03T07:49:19","date_gmt":"2025-04-03T07:49:19","guid":{"rendered":"https:\/\/rkdigitalschool.in\/itwala\/?p=73"},"modified":"2025-04-07T18:14:57","modified_gmt":"2025-04-07T18:14:57","slug":"what-is-multithreading","status":"publish","type":"post","link":"https:\/\/rkdigitalschool.in\/itwala\/multithreading\/what-is-multithreading\/","title":{"rendered":"What is Multithreading"},"content":{"rendered":"\n<p>Multithreading is a programming technique that allows a single process to run multiple threads concurrently. Threads are smaller, lightweight units of a process that share the same memory and resources. By using multithreading, programs can perform multiple tasks at the same time, making them more efficient and responsive.<\/p>\n\n\n\n<p>Threads within the same process share memory and resources, making them lightweight and efficient for performing tasks in parallel.<\/p>\n\n\n\n<p><strong>Multithreading is useful in below Scenario<\/strong><\/p>\n\n\n\n<p><strong>Parallel Execution<\/strong>: Multithreading enables different parts of a program to run concurrently, improving performance and responsiveness.<\/p>\n\n\n\n<p><strong>Improving performance <\/strong>: By allowing threads to run concurrently, multithreading can make better use of cpu resources, leading to faster execution of tasks.<\/p>\n\n\n\n<p><strong>Efficient Resource Usage<\/strong>: By sharing the process&#8217;s memory and resources, threads are more efficient than creating multiple processes.<\/p>\n\n\n\n<p><strong>Scalability<\/strong>: Multithreading can help applications scale better on multicore processors leveraging the full potential of modern hardware .<\/p>\n\n\n\n<p>Multithreading is particularly useful for taking advantage of multi-core processors, where each thread can run on a separate core.However, it requires careful management to avoid issues like:<\/p>\n\n\n\n<p><strong>Resource contention<\/strong>: When threads compete for limited system resources.<\/p>\n\n\n\n<p><strong>Race conditions<\/strong>: When two or more threads try to modify shared data simultaneously.<\/p>\n\n\n\n<p><strong>Deadlocks<\/strong>: Deadlocks occur when multiple threads become stuck, each waiting for the other to release resources, causing a system halt.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">How Thread Will Allocate Memory<\/h5>\n\n\n\n<p>In multithreading, threads share the same memory space and resources of the process they belong to. Here&#8217;s how memory allocation works for threads:<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>Shared Memory<\/strong>: All threads in a process share the same <strong>heap<\/strong> memory and global variables. This allows them to communicate and share data efficiently.<\/li>\n\n\n\n<li><strong>Thread-Specific Memory<\/strong>: Each thread has its own <strong>stack<\/strong> memory, used for storing its local variables and function call information. This stack memory is separate for each thread to prevent interference between them.<\/li>\n\n\n\n<li><strong>Resource Allocation<\/strong>: When a thread is created, the operating system allocates stack memory and essential resources for execution. The stack size is configurable and varies based on the system or programming language.<\/li>\n\n\n\n<li><strong>Synchronization and Safety<\/strong>: Since threads share heap memory, accessing shared data requires proper synchronization (like mutexes, locks, or semaphores) to avoid race conditions or data corruption.<\/li>\n<\/ol>\n\n\n\n<h5 class=\"wp-block-heading\">Thread life cycle<\/h5>\n\n\n\n<p>The thread lifecycle in Java describes the various states a thread can go through from its creation to termination.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"477\" src=\"https:\/\/rkdigitalschool.in\/itwala\/wp-content\/uploads\/2025\/04\/thead-lifecycle.png\" alt=\"\" class=\"wp-image-87\" srcset=\"https:\/\/rkdigitalschool.in\/itwala\/wp-content\/uploads\/2025\/04\/thead-lifecycle.png 1024w, https:\/\/rkdigitalschool.in\/itwala\/wp-content\/uploads\/2025\/04\/thead-lifecycle-300x140.png 300w, https:\/\/rkdigitalschool.in\/itwala\/wp-content\/uploads\/2025\/04\/thead-lifecycle-768x358.png 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>Thread States<\/strong><\/h6>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>New<\/strong>:\n<ul class=\"wp-block-list\">\n<li>A thread is in the created state when it has been initialized but has not started execution.<\/li>\n\n\n\n<li>Example: <code>Thread t = new Thread();<\/code><\/li>\n\n\n\n<li>The thread is in the &#8220;New&#8221; state and hasn&#8217;t executed its <code>run()<\/code> method yet.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Runnable<\/strong>:\n<ul class=\"wp-block-list\">\n<li>When the <code>start()<\/code> method is called, the thread enters the &#8220;Runnable&#8221; state.<\/li>\n\n\n\n<li>The thread is ready to run but waits for CPU time to execute.<\/li>\n\n\n\n<li>Example: <code>t.start();<\/code><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Running<\/strong>:\n<ul class=\"wp-block-list\">\n<li>The thread is actively executing its <code>run()<\/code> method. The JVM scheduler selects it for execution.<\/li>\n\n\n\n<li>Note: A thread alternates between &#8220;Runnable&#8221; and &#8220;Running&#8221; depending on CPU availability.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Blocked\/Waiting\/Timed Waiting<\/strong>:\n<ul class=\"wp-block-list\">\n<li>A thread moves to these states when it waits for resources or another thread\u2019s signal:\n<ul class=\"wp-block-list\">\n<li><strong>Blocked<\/strong>: Waiting for a resource (e.g., a lock) to become available.<\/li>\n\n\n\n<li><strong>Waiting<\/strong>: Waiting indefinitely for another thread to signal (using methods like <code>wait()<\/code>).<\/li>\n\n\n\n<li><strong>Timed Waiting<\/strong>: Waiting for a specific time (using methods like <code>sleep()<\/code> or <code>join(timeout)<\/code>).<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Terminated (Dead)<\/strong>:\n<ul class=\"wp-block-list\">\n<li>A thread enters the &#8216;Terminated&#8217; state when it completes execution or stops due to an exception.<\/li>\n\n\n\n<li>Example: When the <code>run()<\/code> method finishes, the thread is considered &#8220;dead.&#8221;<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<h5 class=\"wp-block-heading\">How many way we can create thread . <\/h5>\n\n\n\n<p>Two way we can create a thread in java using <strong>Thread <\/strong>class and <strong>Runnable <\/strong>Interface<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Creating Threads Using the <code>Thread<\/code> Class<\/strong><\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-code has-cyan-bluish-gray-background-color has-background\"><code>\/\/ Extending the Thread class\nclass MyThread extends Thread {\n    @Override\n    public void run() {\n        System.out.println(\"Hello from MyThread: \" + Thread.currentThread().getName());\n    }\n}\n\npublic class ThreadExample {\n    public static void main(String&#91;] args) {\n        \/\/ Creating and starting threads\n        MyThread thread1 = new MyThread();\n        MyThread thread2 = new MyThread();\n\n        thread1.start(); \/\/ Start thread1\n        thread2.start(); \/\/ Start thread2\n    }\n}\n<\/code><\/pre>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>Key Points:<\/strong><\/h6>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><code>start()<\/code><strong> Method<\/strong>: This is used to begin thread execution, invoking the <code>run()<\/code> method internally.<\/li>\n\n\n\n<li><code>run()<\/code><strong> Method<\/strong>: Contains the code to be executed by the thread.<\/li>\n\n\n\n<li><strong>Thread Identification<\/strong>: <code>Thread.currentThread().getName()<\/code> helps identify the currently executing thread.<\/li>\n<\/ol>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>Memory Allocation of Above Program<\/strong><\/h6>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>Heap Memory<\/strong>:\n<ul class=\"wp-block-list\">\n<li>When <code>MyThread thread1 = new MyThread();<\/code> and <code>MyThread thread2 = new MyThread();<\/code> are executed, two objects of the <code>MyThread<\/code> class are created in the <strong>heap memory<\/strong>.<\/li>\n\n\n\n<li>The heap is a shared memory space accessible by all threads. Here, the <code>MyThread<\/code> objects (instances <code>thread1<\/code> and <code>thread2<\/code>) reside.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Stack Memory<\/strong>:\n<ul class=\"wp-block-list\">\n<li>Each thread (<code>thread1<\/code> and <code>thread2<\/code>) has its own <strong>stack memory<\/strong>.<\/li>\n\n\n\n<li>The stack is private to each thread and used for storing local variables and method call information.<\/li>\n\n\n\n<li>When the <code>run()<\/code> method executes for each thread, the method&#8217;s context (parameters, local variables, and return address) is stored in its respective stack.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Shared Resources<\/strong>:\n<ul class=\"wp-block-list\">\n<li>The code inside the <code>run()<\/code> method does not use shared variables; it only prints the thread&#8217;s name using <code>Thread.currentThread().getName()<\/code>. <\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Thread-Specific Memory<\/strong>:\n<ul class=\"wp-block-list\">\n<li>The <code>Thread.currentThread()<\/code> object represents the current thread and exists in thread-specific storage. Each thread maintains its own identity and state (such as name, priority, etc.) in this storage.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Garbage Collection<\/strong>:\n<ul class=\"wp-block-list\">\n<li>Once <code>thread1<\/code> and <code>thread2<\/code> complete execution, they are eligible for garbage collection since there are no active references to these objects. The JVM automatically handles this cleanup process.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<p><strong>2.Creating Threads Using the <code>Runnable<\/code> Interface<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code has-cyan-bluish-gray-background-color has-background\"><code>class MyRunnable implements Runnable {   \n @Override\n    public void run() {\n        System.out.println(\"Hello from MyRunnable: \" + Thread.currentThread().getName());\n    }\n}\n\npublic class RunnableExample {\n    public static void main(String&#91;] args) {\n        \/\/ Creating and starting threads\n        Thread thread1 = new Thread(new MyRunnable());\n        Thread thread2 = new Thread(new MyRunnable());\n\n        thread1.start(); \/\/ Start thread1\n        thread2.start(); \/\/ Start thread2\n    }\n}\n\n<\/code><\/pre>\n\n\n\n<p><strong>Above code explanation <\/strong><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>1. <\/strong><code>class MyRunnable implements Runnable {<\/code><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A new class <code>MyRunnable<\/code> is defined, which implements the <code>Runnable<\/code> interface.<\/li>\n\n\n\n<li>This means that <code>MyRunnable<\/code> must provide an implementation for the <code>run()<\/code> method, as required by the <code>Runnable<\/code> interface.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>2. <\/strong><code>@Override public void run() {<\/code><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The <code>run()<\/code> method is overridden in the <code>MyRunnable<\/code> class.<\/li>\n\n\n\n<li>When a thread executes, the code inside this <code>run()<\/code> method is what gets executed.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>3. <\/strong><code>System.out.println(\"Hello from MyRunnable: \" + Thread.currentThread().getName());<\/code><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The <code>run()<\/code> method prints a message to the console with the name of the current thread (<code>Thread.currentThread().getName()<\/code>).<\/li>\n\n\n\n<li><code>Thread.currentThread()<\/code> retrieves the thread currently executing the <code>run()<\/code> method.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>4. <\/strong><code>public class RunnableExample {<\/code><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The <code>RunnableExample<\/code> class acts as the entry point for the program. Its <code>main()<\/code> method is where the threads are created and started.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>5. <\/strong><code>Thread thread1 = new Thread(new MyRunnable());<\/code><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A new <code>Thread<\/code> object is created, and the <code>MyRunnable<\/code> instance is passed as its argument.\n<ul class=\"wp-block-list\">\n<li><strong>Memory Allocation<\/strong>:\n<ul class=\"wp-block-list\">\n<li>An object of <code>MyRunnable<\/code> is created in <strong>heap memory<\/strong>.<\/li>\n\n\n\n<li>The <code>Thread<\/code> object <code>thread1<\/code> is also created in <strong>heap memory<\/strong>.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>6. <\/strong><code>Thread thread2 = new Thread(new MyRunnable());<\/code><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Similarly, another <code>Thread<\/code> object is created, with another <code>MyRunnable<\/code> instance as its argument.\n<ul class=\"wp-block-list\">\n<li><strong>Memory Allocation<\/strong>:\n<ul class=\"wp-block-list\">\n<li>A second <code>MyRunnable<\/code> object is created in <strong>heap memory<\/strong>.<\/li>\n\n\n\n<li>The <code>Thread<\/code> object <code>thread2<\/code> is also stored in <strong>heap memory<\/strong>.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>7. <\/strong><code>thread1.start();<\/code><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The <code>start()<\/code> method is called on <code>thread1<\/code>.\n<ul class=\"wp-block-list\">\n<li>This triggers the JVM to execute the <code>run()<\/code> method of the <code>MyRunnable<\/code> instance associated with <code>thread1<\/code>.<\/li>\n\n\n\n<li><strong>Memory Allocation<\/strong>:\n<ul class=\"wp-block-list\">\n<li>A new <strong>stack memory<\/strong> is allocated for <code>thread1<\/code>. The stack contains local variables and execution context for the <code>run()<\/code> method.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>8. <\/strong><code>thread2.start();<\/code><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Similarly, the <code>start()<\/code> method is called on <code>thread2<\/code>.\n<ul class=\"wp-block-list\">\n<li>This triggers the JVM to execute the <code>run()<\/code> method of the second <code>MyRunnable<\/code> instance in a new thread.<\/li>\n\n\n\n<li><strong>Memory Allocation<\/strong>:\n<ul class=\"wp-block-list\">\n<li>A new <strong>stack memory<\/strong> is allocated for <code>thread2<\/code>.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h5 class=\"wp-block-heading\">Memory Management Overview<\/h5>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>Heap Memory<\/strong>:\n<ul class=\"wp-block-list\">\n<li>The <code>MyRunnable<\/code> instances (<code>new MyRunnable()<\/code>) and <code>Thread<\/code> objects (<code>new Thread()<\/code>) are allocated here.<\/li>\n\n\n\n<li>.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Stack Memory<\/strong>:\n<ul class=\"wp-block-list\">\n<li>Each thread (<code>thread1<\/code> and <code>thread2<\/code>) gets its own stack memory.<\/li>\n\n\n\n<li>The stack holds:\n<ul class=\"wp-block-list\">\n<li>Local variables.<\/li>\n\n\n\n<li>Method call information for the <code>run()<\/code> method.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Thread-Specific Information<\/strong>:\n<ul class=\"wp-block-list\">\n<li>Each thread maintains its own state (like priority, name, etc.) in thread-specific memory managed by the JVM.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Garbage Collection<\/strong>:\n<ul class=\"wp-block-list\">\n<li>Once <code>thread1<\/code> and <code>thread2<\/code> finish their execution, the <code>MyRunnable<\/code> objects and <code>Thread<\/code> objects are eligible for garbage collection unless referenced elsewhere.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Multithreading is a programming technique that allows a single process to run multiple threads concurrently. Threads are smaller, lightweight units of a process that share the same memory and resources. By using multithreading, programs can perform multiple tasks at the same time, making them more efficient and responsive. Threads within the same process share memory and resources, making them lightweight and efficient for performing tasks in parallel. Multithreading is useful in below Scenario Parallel Execution: Multithreading enables different parts of a program to run concurrently, improving performance and responsiveness. Improving performance : By allowing threads to run concurrently, multithreading can make better use of cpu resources, leading to faster execution of tasks. Efficient Resource Usage: By sharing the process&#8217;s memory and resources, threads are more efficient than creating multiple processes. Scalability: Multithreading can help applications scale better on multicore processors leveraging the full potential of modern hardware . Multithreading is particularly useful for taking advantage of multi-core processors, where each thread can run on a separate core.However, it requires careful management to avoid issues like: Resource contention: When threads compete for limited system resources. Race conditions: When two or more threads try to modify shared data simultaneously. Deadlocks: Deadlocks occur when multiple threads become stuck, each waiting for the other to release resources, causing a system halt. How Thread Will Allocate Memory In multithreading, threads share the same memory space and resources of the process they belong to. Here&#8217;s how memory allocation works for threads: Thread life cycle The thread lifecycle in Java describes the various states a thread can go through from its creation to termination. Thread States How many way we can create thread . Two way we can create a thread in java using Thread class and Runnable Interface Key Points: Memory Allocation of Above Program 2.Creating Threads Using the Runnable Interface Above code explanation 1. class MyRunnable implements Runnable { 2. @Override public void run() { 3. System.out.println(&#8220;Hello from MyRunnable: &#8221; + Thread.currentThread().getName()); 4. public class RunnableExample { 5. Thread thread1 = new Thread(new MyRunnable()); 6. Thread thread2 = new Thread(new MyRunnable()); 7. thread1.start(); 8. thread2.start(); Memory Management Overview<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[49],"tags":[58,59,57,54,53,50,51,56,52,55],"class_list":["post-73","post","type-post","status-publish","format-standard","hentry","category-multithreading","tag-create-thread-using-thread-class","tag-creating-thread-using-runnable-interface","tag-how-many-we-can-create-thread-in-java","tag-how-memory-will-allocate-by-thread","tag-how-multithreading-works-in-hava","tag-multithreading","tag-multithreading-in-java","tag-thread-lifecycle","tag-what-is-multithreading","tag-what-is-thread-lifecycle"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What is Multithreading - Latest technology<\/title>\n<meta name=\"description\" content=\"Multithreading is a programming technique that allows a single process to run multiple threads concurrently. 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