Threads
1. **Threads:**
- Definition: Threads are the smallest sequence of programmed instructions that can be managed independently by a scheduler within a process. They share the same memory space, allowing them to execute concurrently.
- Benefits:
- Concurrency: Enables multiple tasks to run concurrently within a single process, improving performance and responsiveness.
- Resource Sharing: Threads within the same process share resources, making communication and data sharing faster.
- Lightweight: Threads are faster to create and switch between compared to processes since they share resources within the same process.
2. **Types of Threads:**
- User Threads: Managed entirely by a user-level thread library, not visible to the operating system.
- Kernel Threads: Managed by the operating system kernel, visible to the scheduler.
3. **Thread States:**
- Common states: running, ready, blocked, or terminated. The scheduler manages state transitions and determines which thread to execute next.
4. **Thread Synchronization:**
- Importance: Prevents data corruption or race conditions by synchronizing access to shared resources.
- Techniques: Mutexes, semaphores, monitors are commonly used for thread synchronization.
5. **Multithreading:**
- Definition: The ability of a program to create and manage multiple threads concurrently, leading to improved performance, especially on multi-core processors.
6. **Threading Issues:**
- Race Conditions: Occur when two or more threads access shared data concurrently, leading to unpredictable behavior.
- Deadlocks: Happen when two or more threads are blocked indefinitely, waiting for each other to release resources.
- Priority Inversion: Occurs when a low-priority thread holds a resource needed by a high-priority thread.
- Starvation: Happens when a thread is unable to gain access to a resource because other threads continually access it.
- Context Switching Overhead: Introduces overhead when the operating system switches execution from one thread to another.
- Thread Safety: Ensures data structures and algorithms can be accessed by multiple threads concurrently without causing data corruption.
7. **Inter Process Communication (IPC):**
- Definition: Processes often need to communicate with each other, and IPC facilitates this communication in a structured manner.
- Issues: Passing information between processes, preventing interference, and ensuring proper sequencing.
8. **Critical Section:**
- Definition: A part of a program's code where shared resources are accessed and modified by multiple threads or processes.
- Critical Section Problem: Mutual Exclusion, Progress, Bounded Waiting, Independence.
- Synchronization Techniques: Mutexes, Semaphores, Monitors.
By understanding these concepts, programmers can effectively utilize threads, manage concurrency, and ensure the integrity of their programs through proper synchronization and IPC mechanisms.
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