Thread Management and Synchronization

Understanding Threads and Processes

Introduction to Threads

  • Definition: Threads are the smallest unit of processing that can be scheduled by an operating system.

Requirements for Supporting Threads

  • Data Structure:

    • A data structure is necessary to distinguish between threads and processes.

    • It should include identifiers for each thread and track their resource usage.

  • Mechanisms for Creation and Management:

    • There must be mechanisms in place to create threads and manage their lifecycle.

  • Coordination Mechanisms:

    • Coordination among threads is crucial, particularly when threads are executed concurrently.

    • Threads may have dependencies in execution that need to be managed to ensure smooth operation.

Issues with Concurrent Execution of Threads

  • Data Management:

    • Concurrent Access: Threads running concurrently can overwrite each other's inputs or results; thus, proper management is necessary.

    • Example: One thread may need to wait for results produced by another thread before proceeding.

Comparison with Processes
  • Memory Access Control:

    • Processes operate within separate address spaces. Each process is restricted from accessing memory allocated to another process.

    • Example: If process P1 has a physical address (x), then P2 cannot access (x) due to the operating system's mapping rules.

  • Threads Use Shared Address Space:

    • In contrast, threads running concurrently within the same process share the same virtual-to-physical address mappings.

    • Example: Threads (T1) and (T2) can access the same physical memory using the same virtual address, leading to potential issues.

Problems Arising from Thread Concurrency

  • Data Races:

    • A data race occurs when multiple threads read and write shared data simultaneously, potentially leading to inconsistencies.

    • Example: One thread modifying data while another is reading it can result in invalid data being read (referred to as "garbage").

Mechanisms for Handling Concurrency Issues

  • Mutual Exclusion:

    • Definition: Mutual exclusion ensures that only one thread can perform a particular operation at a time, preventing access conflicts.

    • Remaining threads must wait their turn to perform the same operation.

  • Implementation with Mutexes:

    • Mutexes are synchronization primitives used to implement mutual exclusion by locking shared resources while they are being accessed.

  • Inter-Thread Coordination:

    • Threads may need to wait for specific conditions to be met before they can proceed.

    • Example: A shipment processing thread should wait until all items in an order are processed before the shipment can occur.

    • Constantly checking the status of other threads is inefficient; instead, explicit notification is preferred.

Condition Variables for Coordination

  • Condition Variables:

    • A mechanism that allows threads to signal each other when specific conditions arise, allowing waiting threads to proceed when appropriate.

Focus of Current and Future Lessons

  • The current lesson focuses primarily on:

    • Thread creation mechanisms

    • Synchronization mechanisms: mutexes and condition variables.

  • Future lessons will delve deeper into inter-thread coordination and additional synchronization techniques.