Determine if the following problems exhibit task or data parallelism or no parallelism is possible: a) Using a separate thread to generate a thumbnail for each photo in a collection b) Transposing a matrix in parallel C) A networked application where one thread reads from the network and another writes to the network d) A face recognition application comparing a target face image to images in a database
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- Topic: OpenMP #pragma omp parallel for and #pragma omp master (Distributed and Parallel Computing Lab) The master construct denotes a block that is only executed by the master thread. Note that there is no synchronization (implicit barrier) for the master construct. The other threads will skip over this block and continue processing without waiting for the master thread. Write a program that computes the average of a large array using a parallel for construct. While it is running using #pragma omp parallel for construct, also use a master construct (outside the for loop) to keep track of how many iterations have been executed and prints out a progress report. Q. The following code is what I have written so far, but the ave(rage) value at the end comes as zero, and the number of iteration was only one, which I don't think it reflects what this program is supposed to do. Please, modify my current code to meet the criteria explained above. #include <omp.h>#include…Implement the server-side requirements and then provide code snippets for each function with clearexplanation/comments of key statements used.i. Create a thread using extending thread class or implementing runnable interface and implementa run method with explanations of the method usedii. The server will read the employee ID, employee name, number of doses, and vaccination status(unvaccinated, partially vaccinated, and fully vaccinated). The server will then connect to thedatabase and add the inputs as a new recordiii. The server will then calculate the number of unvaccinated, partially vaccinated, and fullyvaccinated employees. The server will then send the results to the client for display.Write program for the following Create a child thread class for sorting an array of 10000 size string values Create a child class for calculating factorial of 50 Create a child thread class for calculating base b to the power p Create a single object of each thread in the main thread, and stop the execution of main thread until the termination of all child threads using join method
- let us suppose that a function f() running on the UI thread must invoke a long-running function called long_op(). Use a short code segment, show how f() can create a worker thread and invoke long_op() in the worker thread. Your code should use general Java concurrency constructs; do not use Android-specific concurrency constructs.Consider an ARMv8 computer that is running more than one thread of execution. The computer has certain resources that must not be accessed or modified by different threads at the same time. These resources could be peripheral devices or memory buffers and data structures that are accessible by any threads. This type of concurrency control is a general computer science problem. It is possible to protect a shared resource by implementing a lock function, which allows a thread request ownership of the resource. An unlock function is necessary to allow software to release the lock. A simple lock system could be implemented using a variable in memory that can contain one of two values, LOCKED and, UNLOCKED. The action is to first read the value from memory, and if the lock is UNLOCKED then the value can be updated to LOCKED and written back to memory. This method is vulnerable to another thread modifying the value in memory in between the first read and the write-back of the new value. The…Could you kindly utilize solely my code as I contributed to its development? I emphasize, please utilize only my code. This code has to be in C code and I have provided part of code below. Question that I need help with: You need to use the pthread for matrix multiplication. Each thread from the threadpool should be responsible for computing only a partof the multiplication (partial product as shown in the above picture –all Ti(S) are called a partical product). Your main thread should splitthe matrices accordingly and create the partial data arrays that areneeded to compute each Ti. You must create a unique task with thedata and submit it to the job queue. You can compute the partialproducts concurrently as long as you have threads available in thethreadpool. You have to remove the task the from queue and submitto a thread in the threadpool. You should define the number ofthreads to be 5 and keep it dynamic so that we can test the samecode with a higher or lower number of…
- Describe the role of thread pools in dynamic multithreading and provide an example of when using a thread pool is beneficial.Write and execute a java program to create and initialize a matrix of integers. Create n threads(by implementing Runnable interface) where n is equal to the number of rows in the matrix. Each of these threads should compute a distinct row sum. The main thread computes the complete sum by looking into the partial sums given by the threads. (multithreading concept should be used-Hint)No screenshot needed, just explain the program and answer the red question to copy program /* Multi-threaded example */ #include <stdio.h> #include <stdlib.h> #include <pthread.h> #define NUM_THREADS 10 /*This data is shared by the thread(s) */ pthread_t tid[NUM_THREADS]; /*This is the thread function */ void *runner(void *param); int main(int argc, char *argv[]) { int i; pthread_attr_t attr; printf("I am the parent thread\n"); /* get the default attributes */ pthread_attr_init(&attr); /* set the scheduling algorithm to PROCESS(PCS) or SYSTEM(SCS) */ pthread_attr_setscope(&attr, PTHREAD_SCOPE_SYSTEM); /* set the scheduling policy - FIFO, RR, or OTHER */ pthread_attr_setschedpolicy(&attr, SCHED_OTHER); /* create the threads */ for (i = 0; i < NUM_THREADS; i++) pthread_create(&tid[i], &attr, runner, (void *) i); /* now join on each thread */ for (i = 0; i < NUM_THREADS; i++) pthread_join(tid[i], NULL); printf("I am the parent thread…
- Please provide correct solution. Task1: Solve the producer and consumer problem with inter thread communication (join(), wait(), sleep() etc.) modifying the given C code. #include <pthread.h> #include <stdio.h> #include <string.h> #define MAX 10 //producers and consumers can produce and consume upto MAX #define BUFLEN 6 #define NUMTHREAD 2 /* number of threads */ void * consumer(int *id); void * producer(int *id); char buffer[BUFLEN]; char source[BUFLEN]; //from this array producer will store it's production into buffer int pCount = 0; int cCount = 0; int buflen; //initializing pthread mutex and condition variables pthread_mutex_t count_mutex = PTHREAD_MUTEX_INITIALIZER; pthread_cond_t nonEmpty = PTHREAD_COND_INITIALIZER; pthread_cond_t full = PTHREAD_COND_INITIALIZER; int thread_id[NUMTHREAD] = {0,1}; int i = 0; int j = 0; main() { int i; /* define the type to be pthread */ pthread_t thread[NUMTHREAD];…Hello, could you assist me with this code? I'm encountering difficulties and I'm unsure how to proceed. The code needs to be written in C. I've included my current code below for reference.question:You need to use the pthread for matrix multiplication. Each thread from the threadpool should be responsible for computing only a part of the multiplication (partial product as shown in the above picture –all Ti(S) are called a partical product). Your main thread should split the matrices accordingly and create the partial data arrays that are needed to compute each Ti. You must create a unique task with thedata and submit it to the job queue. You can compute the partial products concurrently as long as you have threads available in the threadpool. You have to remove the task the from queue and submitto a thread in the threadpool. You should define the number of threads to be 5 and keep it dynamic so that we can test the same code with a higher or lower number of threads as needed. When…How does a thread pool work, and what are the benefits of using thread pools in multithreaded applications?