Modify the pthread-data-sharing-mutex-os-call.cpp program to apply a Pthread mutex solution, i.e., you will use Linux system calls to control access to the critical region. Note: Mutex initialization can be done in two ways: Using a mutex initialization function (https://linux.die.net/man/3/pthread_mutex_init) which is more powerful if you need to set up your mutex in special ways. Using the mutex initialization macro introduced in the lecture material, which initializes a mutex with default settings [sufficient for the purposes of this assignment]. The necessary changes will be very small, i.e., not a lot of code is needed. Build and execute the updated program several times. Expected Output: Your program should produce output similar to the following (Note: the order of threads may be different in your case and all iterations for a given thread need not be together): Take a screenshot of a sample output and upload the picture as part of your assignment submission. ----------------------- Code: #include #include #include #define TOTAL_THREADS 2 int count; int turn; // Shared variable, indicates // whose turn it is to execute bool interested[TOTAL_THREADS]; // Shared variable, indicates // processes interested in executing // The thread_id will be either 0 or 1 void enter_region(int thread_id) { int other; // ID of the other thread other = 1 - thread_id; // The oposite of thread_id // TODO: Add the code to indicate the // thread's interest in executing. // TODO: Indicate the thread's turn to execute next // TODO: Busy wait until it is the thread's turn to execute } void leave_region(int thread_id) { // TODO: Add the code to set the flag // indicating that the thread has // exited the critical region. } void* myFunction(void* arg) { int thread_id = *((int*) arg); for(unsigned int i = 0; i < 10; ++i) { // TODO: // Make sure that the thread waits for its turn // before it enters the critical region. // // HINT: You need one function call // Beginning of the critical region count++; std::cout << "Thread #" << thread_id << " count = " << count << std::endl; // End of the critical region // TODO: // Make sure that the other thread gets a turn // // HINT: You need one function call // Random wait - This code is just to ensure that the threads // show data sharing problems int max = rand() % 1000000; for (int x = 0; x < max; x++); // End of random wait code } pthread_exit(NULL); } // HINT: It is not necessary to make any changes in main() int main() { int rc[TOTAL_THREADS]; pthread_t ids[TOTAL_THREADS]; int args[TOTAL_THREADS]; count = 0; for(unsigned int i = 0; i < TOTAL_THREADS; ++i) { args[i] = i; rc[i] = pthread_create(&ids[i], NULL, myFunction, (void*) &args[i]); } for(unsigned int i = 0; i < TOTAL_THREADS; ++i) { pthread_join(ids[i], NULL); } std::cout << "Final count = " << count << std::endl; pthread_exit(NULL); }
- Modify the pthread-data-sharing-mutex-os-call.cpp program to apply a Pthread mutex solution, i.e., you will use Linux system calls to control access to the critical region.
Note: Mutex initialization can be done in two ways:
- Using a mutex initialization function (https://linux.die.net/man/3/pthread_mutex_init) which is more powerful if you need to set up your mutex in special ways.
- Using the mutex initialization macro introduced in the lecture material, which initializes a mutex with default settings [sufficient for the purposes of this assignment].
The necessary changes will be very small, i.e., not a lot of code is needed.
- Build and execute the updated program several times.
Expected Output:
Your program should produce output similar to the following (Note: the order of threads may be different in your case and all iterations for a given thread need not be together):
Take a screenshot of a sample output and upload the picture as part of your assignment submission.
-----------------------
Code:
#include <iostream>
#include <pthread.h>
#include <stdlib.h>
#define TOTAL_THREADS 2
int count;
int turn; // Shared variable, indicates
// whose turn it is to execute
bool interested[TOTAL_THREADS]; // Shared variable, indicates
// processes interested in executing
// The thread_id will be either 0 or 1
void enter_region(int thread_id)
{
int other; // ID of the other thread
other = 1 - thread_id; // The oposite of thread_id
// TODO: Add the code to indicate the
// thread's interest in executing.
// TODO: Indicate the thread's turn to execute next
// TODO: Busy wait until it is the thread's turn to execute
}
void leave_region(int thread_id)
{
// TODO: Add the code to set the flag
// indicating that the thread has
// exited the critical region.
}
void* myFunction(void* arg)
{
int thread_id = *((int*) arg);
for(unsigned int i = 0; i < 10; ++i) {
// TODO:
// Make sure that the thread waits for its turn
// before it enters the critical region.
//
// HINT: You need one function call
// Beginning of the critical region
count++;
std::cout << "Thread #" << thread_id << " count = " << count << std::endl;
// End of the critical region
// TODO:
// Make sure that the other thread gets a turn
//
// HINT: You need one function call
// Random wait - This code is just to ensure that the threads
// show data sharing problems
int max = rand() % 1000000;
for (int x = 0; x < max; x++);
// End of random wait code
}
pthread_exit(NULL);
}
// HINT: It is not necessary to make any changes in main()
int main()
{
int rc[TOTAL_THREADS];
pthread_t ids[TOTAL_THREADS];
int args[TOTAL_THREADS];
count = 0;
for(unsigned int i = 0; i < TOTAL_THREADS; ++i) {
args[i] = i;
rc[i] = pthread_create(&ids[i], NULL, myFunction, (void*) &args[i]);
}
for(unsigned int i = 0; i < TOTAL_THREADS; ++i) {
pthread_join(ids[i], NULL);
}
std::cout << "Final count = " << count << std::endl;
pthread_exit(NULL);
}
OUTPUT IN SCREENSHOT

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