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.