Problem 2. In addition to POSIX semaphores, the POSIX threads standard provides another useful synchronization primitives: the muter (type pthread_mutex_t) A mutex is used to wait for it implement mutual exclusion. A thread locks a mutex variable by calling pthread_mutex_lock(), and unlocks it by calling pthread_mutex_unlock(). When a thread calls pthread_mutex_lock() while another thread has previously locked the same mutex but not yet unlocked it, the former thread blocks until the latter thread calls pthread_mutex_unlock() on it. a. Is there any difference between a binary semaphore and a pthread_mutex? Justify your answer. b. Consider a program with multiple threads running this function: struct {...} shared_data; pthread_mutex_t m; void *thread_func(void *arg) { [update shared_data]; // critical section! return NULL; } Assume the mutex is initialized before the threads are created. Add the necessary pthread_mutex_* calls to the above code to ensure that only one thread is in the critical section at any time. c. Consider the program below, where ". . ." represents code that updates a shared data structure.

Complete the following code. The goal is to implement the producer-consumer problem. You are expected to extend the provided C code to synchronize the thread operations consumer() and producer() such that an underflow and overflow of the queue is prevented. You are not allowed to change the code for implementing the queue operations, that is the code between lines 25 and 126 as shown in the Figure below. You must complete the missing parts between lines 226-261 as shown in the screenshot.

Write java code to create a thread by (extending), theprogram create 3 thread that displaying “fatmah” and thenumber of thread that is running.Rewrite the above program by implementing the RunnableInterface

Multi-tasking can not be achieved with a single processor machine.  True  False       2. Async/Await is best for network bound operations while multi-threading and parallel programming is best for CPU-bound operations.  True  False     3. The following is a characteristic of an async method:The name of an async method, by convention, ends with an "Async" suffix.  True  False   4. Using asynchronous code for network bound operations can speed up the time needed to contact the server and get the data back.  True  False     5. Asynchronous programming has been there for a long time but has tremendously been improved by the simplified approach of async programming in C# 5 through the introduction of:  The Task class  True  False

Subject Name: Advanced Object-Oriented Programming 1. Complete the below given code (1) class NyThread Thread t: Runnable ( MyThread (String n, int pl t (2) (3) : / creates teh Thread t with nane n : // changen the priority to p Syster.out.printin ("Thread "+n+* created with priority "+p): t. (4) : // exexcute the thread t. I // The only abatarct aethed in Runnable public for (int 1=10: 1>=1: 1--) { Syaten.out.prántin ("Thread *t.getName ()+"\e i - "a) : (5) try { (6) :/ ma ke the Thead t eleep to 2 seconds } catch (Exception e) Syater.out.printin ("Exception in Child"): System.out.printin ("Thread "+t. getName ()+" 1s Exiting"): public statie void main (Stringt) arga) { MyThread t1, 12; ti - new MyThread ("R1", 7): t2 = new MyThread ("R1", 3): try ( :// 2 atatements to aake the Threads ti a v2 exit at same time (8) ) catoh (Exception e) ( Syster.out.printin("Exception in main"): System.out.printin ("Thread Main is Exiting"): 1. 2. 3. 4. 6. 7. 8. 5.

For this assignment you need to write a parallel program in C++ using OpenMP for vector addition. Assume A, B, C are three vectors of equal length. The program will add the corresponding elements of vectors A and B and will store the sum in the corresponding elements in vector C (in other words C[i] = A[i] + B[i]). Every thread should execute approximately equal number of loop iterations. The only OpenMP directive you are allowed to use is: #pragma omp parallel num_threads(no of threads) The program should take n and the number of threads to use as command line arguments: ./parallel_vector_addition Where n is the length of the vectors and threads is the number of threads to be created. Pseudocode for Assignment mystart = myid*n/p; // starting index for the individual thread myend = mystart+n/p; // ending index for the individual thread for (i = mystart; i < myend; i++) // each thread computes local sum do vector addition // and later all local sums combined.   As an input vector A,…

in java fx Write a program that launches 1,000 threads. Each thread adds 1 to a variable sum that initially is 0. You need to pass sum by reference to each thread. In order to pass it by reference, define an Integer wrapper object to hold sum. Run the program with and without synchronization to see its effect.