- Objective
- Global Mutex
- Mutex Initialization
- Mutex in Action: Swap and Sum
- The Importance of Code Locking
- Key Takeaways
- Interview Questions
- Achieve mutual exclusion between two threads accessing a shared data structure, such as an array.
- Ensure that only one thread can act on the shared data structure at a time.
- Declare a global mutex variable to protect against unsafe concurrent thread access to the global data structure.
- Initialize the mutex in the main function when your application starts.
- Once initialized, the mutex is ready to be used for implementing mutual exclusion.
- A thread callback function called
Swap
. - This function swaps the first and last elements of the array.
- Use mutex lock and unlock to sandwich the swap logic, ensuring mutual exclusion.
- Another thread callback function called
Sum
. - This function calculates the sum of the elements of the array.
- Again, use mutex lock and unlock to sandwich the logic, ensuring only one thread acts at a time.
- The use of mutexes in the
Swap
andSum
functions ensures that if one thread is in the middle of executing its logic, the other will have to wait. - This is known as "Code Locking."
- For example, if thread T1 is computing the sum and locks the mutex, another thread T2 will block if it tries to swap elements.
- This guarantees that the output of the program will always be consistent, e.g., the sum as 15 in the example.
- Mutexes are crucial for ensuring mutual exclusion in multithreaded programs.
- Initialization is necessary before using a mutex.
- The logic for read and write operations on shared data structures should be sandwiched between mutex lock and unlock calls.
👉 Answer:
You can initialize a mutex by calling the pthread_mutex_init
function, usually in the main function of your application or process.
👉 Answer: Code locking involves using a mutex to lock a segment of code so that only one thread can execute it at a time. This prevents data races and ensures consistent output.
👉 Answer: You can use a mutex to lock the segment of code that accesses the shared resource, thus ensuring that only one thread can access it at a time.
👉 Answer: A global mutex is useful when you have a global data structure that multiple threads need to access safely. By locking and unlocking this global mutex, you can ensure that only one thread at a time can manipulate the data structure, thus ensuring data integrity.
👉 Answer: Mutual exclusion is crucial for data integrity and consistency. It ensures that operations on shared data structures are atomic, preventing data races and leading to predictable and correct output.
I hope these detailed notes help you prepare for your interviews! Feel free to ask further questions. 😊