Suppose a multi-threaded user application sets up a lock to prevent race conditions in a system that supports virtual memory. Note: all addresses are in 16-bit hexadecimal notation; the page number is 8 bits, and the page offsets are 8-bit. The application uses the following instruction, stored in program address OXAO00 to attempt to acquire the lock: RSM R1, Ox1000 What permissions in the page map are necessary for this instruction to complete in the processor? Select all that apply.

Suppose a multi-threaded user application sets up a lock to prevent race conditions in a system that supports virtual memory. Note: all addresses are in 16-bit hexadecimal notation; the page number is 8 bits, and the page offsets are 8-bit. The application uses the following instruction, stored in program address OXAO00 to attempt to acquire the lock: RSM R1, Ox1000 What permissions in the page map are necessary for this instruction to complete in the processor? Select all that apply.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

Modify the following C program to synchronize between threads using semaphore Run and test the codes before and after the modification. #include <stdio.h> #include <pthread.h> #include <unistd.h> sem_t sync; int x = 0; void* thread(void* arg) { x = x + 1; printf("The Value of x is %d\n", x); } main() { sem_init(&sync, 0, 0) pthread_t th1,th2; pthread_create(&th1,NULL,thread,NULL); pthread_create(&th2,NULL,thread,NULL); pthread_join(th1,NULL); pthread_join(th2,NULL); }
Conflict Based on what we've learned about caches in this class, which of the following situations will cause two blocks to conflict? a) diff tag diff set, diff offset b) diff tag, diff set, same.offset c) diff tag same set, diff offset d) diff tag same set, same offset e) same tag diff set diff offset) f) same tag, diff set, same offset g) same tag, same set, diff offset h) same tag, same set, same offset please I need correct answers in 45 minutes I will give upvote
C++ Write a multithreaded program using only Pthreads that uses several threads to multiply two matrices. The multiplication of matrix A with M rows and L columns, and a matrix B with L rows and N columns gives a resulting matrix C with M rows and N columns, and is given by the formula, In matrix multiplication, each element Cij is the dot product of the ith row vector of A with the jth column vector of B. The program uses one thread to calculate a dot product. Exact result please.
C++ Write a multithreaded program using only Pthreads that uses several threads to multiply two matrices. The multiplication of matrix A with M rows and L columns, and a matrix B with L rows and N columns gives a resulting matrix C with M rows and N columns, and is given by the formula, In matrix multiplication, each element Cij is the dot product of the ith row vector of A with the jth column vector of B. The program uses one thread to calculate a dot product.
An operating system follows a variable memory partitioning model. The system keeps track of empty blocks in a linked list in the order of their address, where each node stores the size of next empty block in the memory. Say that current state of the memory is hold by the linked list shown below, which tells that there are currently four empty blocks in the memory, and the size of first block is 12 byte etc. Assume that following memory block requests have been made in given order: 8 bytes, 2 bytes and 6 bytes. Draw the linked list to be changed after each block assignment by the following strategies [12.5p each]; (a) First Fit (c) Best Fit
Write a program using pthreads, which calculates the sum of elements in a hard-codedinteger array in parallel using 4 threads. The program must divide the work between 4threads which run simultaneously. For simplicity, you can assume that the size of thearray is 100. Note that the integer array must be declared as a global data structure.Initially code your solution so that the sum of elements is maintained in a global shared variable. Each thread modifies the same shared variable as it sums up elements fromthe array. Use a suitable synchronization primitive (mutex) to ensure safe access to theglobal variable. (A sample code of Mutex is attached for your reference)
Remote Method Incocation (RMI) is a mechanism that allows one to invoke a method on an object that exists in another address space. The other address space could be on the same machine or a different one. Briefly describe the following with respect to RMI software architecture: Binder. Activator.
Write a C program using pthreads, which calculates the sum of elements in a hard-coded integer array in parallel using 4 threads. The program must divide the work between 4 threads which run simultaneously. For simplicity, you can assume that the size of the array is 100. Note that the integer array must be declared as a global data structure. Initially code your solution so that the sum of elements is maintained in a global shared variable. Each thread modifies the same shared variable as it sums up elements from the array. Use a suitable synchronization primitive (mutex) to ensure safe access to the global variable.
How to find the amount of read and write contention and synchronization overheads for a shared memory program? For example, the OpenMP program below: int main(int argc, char** argv) {int* arr = NULL;double start_time, run_time; if (!(argc >= 3)) {printf("Number of array elements must be provided as first argument and number of threads as second argument to program\n");exit(-1);}long int n = atoi(argv[1]);if (n > MAXSIZE) { n = MAXSIZE; }int p = atoi(argv[2]);if (p > MAXWORKERS) { p = MAXWORKERS; } omp_set_num_threads(p);arr = (int*)malloc(n * sizeof(int)); // Initialize and print the array to be sortedint i;for (i = 0; i < n; i++)arr[i] = ((int)random() % n) + 1;#ifdef DEBUGprintf("initial arr: \n");for (i = 0; i < n; i++)printf(" %3d", arr[i]);printf("\n");#endif start_time = omp_get_wtime(); // Sorting is done in a parallel region#pragma omp parallel{// The first call to quicksort is done only once#pragma omp singlequicksort(0, (n - 1), arr);} run_time =…
Write a C program using pthreads, which calculates the sum of elements in a hard-codedinteger array in parallel using 4 threads. The program must divide the work between 4threads which run simultaneously. For simplicity, you can assume that the size of thearray is 100. Note that the integer array must be declared as a global data structure.Initially code your solution so that the sum of elements is maintained in a global shared variable. Each thread modifies the same shared variable as it sums up elements fromthe array. Use a suitable synchronization primitive (mutex) to ensure safe access to theglobal variable. (A sample code of Mutex is attached for your reference)
Write a C program using pthreads, which calculates the sum of elements in a hard-codedinteger array in parallel using 4 threads. The program must divide the work between 4threads which run simultaneously. For simplicity, you can assume that the size of thearray is 100. Note that the integer array must be declared as a global data structure.Initially code your solution so that the sum of elements is maintained in a global shared variable. Each thread modifies the same shared variable as it sums up elements fromthe array. Use a suitable synchronization primitive (mutex) to ensure safe access to theglobal variable. (A sample code of Mutex is attached for your reference) write program in C language
Write a program using pthreads, which calculates the sum of elements in a hard-coded integer array in parallel using 4 threads. The program must divide the work between 4 threads which run simultaneously. For simplicity, you can assume that the size of the array is 100. Note that the integer array must be declared as a global data structure. Initially code your solution so that the sum of elements is maintained in a global shared variable. Each thread modifies the same shared variable as it sums up elements from the array. Use a suitable synchronization primitive (mutex) to ensure safe access to the global variable. (A sample code of Mutex is attached for your reference)...also put screenshot of output.