Most systems allow programs to allocate more memory to its address space during execution. Data allocated in the heap segments of programs is an example of such allocated memory. What is required to support dynamic memory allocation in the following schemes: a. contiguous-memory allocation b. pure segmentation c. pure paging
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- How is an array stored in main memory? How is a linked list stored in main memory? What are their comparative advantages and disadvantages? Give examples of data that would be best stored as an array and as a linked list.Q1. Write a function in Assembly(MASM) that takes an array as input and computes average of all items. Use stack frame to send the inputs to the function. Test example: Send array = [1,2,3,4,5,6] into the function and the function will return 3 as input. Q2. Assume that you have an array, find number of odd numbers in the array. Write code in Assembly (MASM). Test example: Array = [1,2,3,4,5,6,7,8,9,10], answer should be 5Most systems allow programs to allocate more memory to its addressspace during execution. Data allocated in the heap segments of programsare an example of such allocated memory. What is required to supportdynamic memory allocation in the following schemes:a. contiguous-memory allocationb. pure segmentationc. pure paging
- The sparse address space is used for: the heap the stack shared memory all of the above no answer is correctWrite a program in C or C++ that contains code addressing the following: Create an integer array of 100,000 items (static binding – before compiling) Create the same large array on the run time stack (in a function) Create the same large array from the heap (dynamic memory – dynamic binding).Write a program in C++ that contains code addressing the following: (New code and with detailed steps!) a. Create an integer array of 100,000 items (static binding – before compiling) b. Create the same large array on the run time stack (in a function) c. Create the same large array from the heap (dynamic memory – dynamic binding). Call each of the subprograms 1,000,000 times and output the time required by each to finish all 1,000,000 calls. Which was the fastest? Here is code for calling time. #include <time.h> //in main() clock_t start = 0, end = 0; //variables start = clock(); //calls time function stores result in start end = clock(); // calls time function stores result in end //display the time by subtracting the start from the end //displays in clock ticks.
- 1. Explain the concept and the cause of the memory leak. 2. Explain the idea of garbage collection and how it is related to current heap links1. For the code below, draw a picture of the program stack when the function partition() is called the first time. You only have to draw the part of the stack for quicksort() and partition(). # extracted from suquant's reply at # https://stackoverflow.com/questions/18262306/quicksort-with-python def partition(array, begin, end): pivot = begin for i in range(begin+1, end+1): if array[i] <= array[begin]: pivot += 1 array[i], array[pivot] = array[pivot], array[i] array[pivot], array[begin] = array[begin], array[pivot] return pivot def quicksort(array, begin, end): if begin >= end: return pivot = partition(array, begin, end) quicksort(array, begin, pivot-1) quicksort(array, pivot+1, end) # added calling code if __name__ == "__main__": mylist = [8, 2, 17, 4, 12] quicksort(mylist, 0, 4)Stacks are an important data structure in their own right and they may be implemented in several ways. Implement a stack as an array and i. Write functions to perform the following operations on it. With each operation explain the time complexity associated with it when performeda. Push() b. pop() c. size() d. peek()ii. Briefly explain any two problems when stacks are implemented as an array.
- 2. For the code below, draw a picture of the program stack when the function partition() is called the 2nd time. # extracted from suquant's reply at # https://stackoverflow.com/questions/18262306/quicksort-with-python def partition(array, begin, end): pivot = begin for i in range(begin+1, end+1): if array[i] <= array[begin]: pivot += 1 array[i], array[pivot] = array[pivot], array[i] array[pivot], array[begin] = array[begin], array[pivot] return pivot def quicksort(array, begin, end): if begin >= end: return pivot = partition(array, begin, end) quicksort(array, begin, pivot-1) quicksort(array, pivot+1, end) # added calling code if __name__ == "__main__": mylist = [8, 2, 17, 4, 12] quicksort(mylist, 0, 4)SPIM: 1.made a program (SPIM) that can find the values of a function f(a,b) =a+b using stack and the jump and link instruction. (i.e. a=2, b=3) 2.Add the items of an array using SPIM. Find the summation of all the previous elements in a loop and show them up.Shortest-Remaining-Time-First (Preemptive SJF): Write a Java program to implement a Shortest-Remaining-Time-First (Preemptive SJF) scheduling algorithm. Your program should first prompts the user to input a list of process ID, arrival time, and burst time (in ms) for each process to be run on the CPU. The list is terminated by 0 0 0 for the process ID, arrival time, and burst time. The program output should draw a Gantt chart (as text) that shows the scheduling order of the processes using the RR scheduling algorithm. Also print the turnaround, response, and waiting time for each process along with their average for all processes. Make sure to display very helpful messages to the user for input and output.