Question: Do: Repeat Task 1, but instead of a multithreaded single process, write a Pseudo code the program as multiple processes, each being single threaded. You

 Do: Repeat Task 1, but instead of a multithreaded single process,

Do: Repeat Task 1, but instead of a multithreaded single process, write a Pseudo code the program as multiple processes, each being single threaded. You are to apply the Inter-Process Communication (IPC) concepts discussed in Chapter 3.

You are to use C++ as youre the basis of your pseudo code. Your pseudo code should be written at level such that it might compile, however you are not expected to actually get a clean compile. Keep focused on the concepts, and not so much the exact function names or pristine syntax.

Task 1: Design and write2 a multithreaded single process sorting program that works as follows: A list of integers is divided into two smaller lists of equal size. Two separate threads (which we will term sorting threads) sort each sublist using a sorting algorithm of your choice. The two sublists are then merged by a third thread-a merging thread-which merges the two sublists into a single sorted list. Because global data are shared cross all threads, perhaps the easiest way to set up the data is to create a global array. Each sorting thread will work on one half of this array. A second global array of the same size as the unsorted inteer array Toreng will also be established. The merging thread will then merge the two sublists into this second array. Graphically, this program is structured according to Figure 4.20 Original List 7,12,19, 3, 18, 4, 2,&15,8 Sorting Thread 7,12,19, 3,18 4,2,6,15,8 Merge Thread This programming project will require passing parameters to each of the sorting threads. In particular, it will be necessary to identify the starting index from which each thread is to begin sorting. Refer to the instructions in Project 1 for details on passing parameters to a thread The parent thread will output the sorted array once all sorting threads have exited 2, 3,4,6,7,8, 12, 15, 18,19 Figure 4.20 Multithreaded sorting

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