Consider baking a cake to be the same as running three loops on a computer in parallel. Find and explain examples of data- level parallelism and task-level parallelism in the loop that makes the cake, then talk about them.
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- Q2: Besides the while-loop in Q1, I want to implement a 2nd while-loop running in parallel with the first while: while(1) { wt(1); XX); } However, on an MCU there is no parallelism. (For ex., on Arduino I can define only one loop() function.) Write a single while that does the job of both whiles. (a) Write it in a procedural style. (b) Write it the super-loop style (state-machine with fixed heartbeat).Write a program in C language to sort the elements of 1D array in descending order and alsoimplement linear search on the same array. Both sorting and searching operationsshould be done inside one user defined function: “Task”. So, for achieving the requiredfunctionality, pass, array into the function: Task () from main () using Pass by reference/or address approach.Write a program that simulates a toy paging system that uses the WSClock algorithm. The system is a toy in that we will assume there are no write references (not very realistic), and process termination and creation are ignored (eternal life). The inputs will be: The reclamation age threshhold The clock interrupt interval expressed as number of memory references A file containing the sequence of page references Describe the basic data structures and algorithms in your implementation. Show that your simulation behaves as expected for a simple (but nontrivial) input example. Plot the number of page faults and working set size per 1000 memory references. Explain what is needed to extend the program to handle a page reference stream that also includes writes.
- This is some code in C for quicksort. The quicksort works correctly, but I am trying to implement multithreading. I am trying to run the recursive calls in parallel with a limit on how much threads can be running at one time (set by the global variable 'maximumThreads'). My logic is incorrect with managing how many threads can be ran at the same time. The part that I need you to look at is after the for loop in quick sort, where I have my logic for the mutex and the conditional variable. Right now when I run my code, the program runs indefinitely. I would like help with correctly implementing this part. #include <stdlib.h>#include <string.h>#include <pthread.h>#include <stdio.h>#define SORT_THRESHOLD 40typedef struct _sortParams {char** array;int left;int right;int* currentThreads;pthread_mutex_t* mutex;pthread_cond_t* cond_var} SortParams;static int maximumThreads; /* maximum # of threads to be used *//* This is an implementation of insert sort, which…This is some code in C for quicksort. The quicksort works correctly, but I am trying to implement multithreading. I am trying to run the recursive calls in parallel with a limit on how much threads can be running at one time (set by the global variable 'maximumThreads'). My logic is incorrect with managing how many threads can be ran at the same time. The part that I need you to look at is after the for loop in quick sort, where I have my logic for the mutex and the conditional variable. Right now when I run my code, the program runs without stopping. I would like help with correctly implementing this. #include <stdlib.h>#include <string.h>#include <pthread.h>#include <stdio.h>#define SORT_THRESHOLD 40typedef struct _sortParams {char** array;int left;int right;int* currentThreads;pthread_mutex_t* mutex;pthread_cond_t* cond_var} SortParams;static int maximumThreads; /* maximum # of threads to be used *//* This is an implementation of insert sort, which although…A graph is a collection of vertices and edges G(V, E). A weighted graph has weights (numbers, etc.) on every edge. A multigraph can have more than one edges between any vertices. Explain why a person should use a weighted graph instead of a multigraph. Give examples. An adjacency matrix might be a better choice for speeding up a program, however, it consumes huge memory for large graphs. How this situation can be improved? What programming constructs better suit graph representation? Explain with example
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- The Java Virtual Machine (and your computer’s assembly language) support a goto instruction so that the search can be “wired in’’ to machine code, like the program at right (which is exactly equivalent to simulating the DFA for the pattern as in KMPdfa, but likely to be much more efficient). To avoid checking whether the end of the text has been reached each time i is incremented, we assume that the pattern itself is stored at the end of the text as a sentinel, as the last M characters of the text. The goto labels in this code correspond precisely to the dfa[] array. Write a static method that takes a pattern as input and produces as output a straight-line program like this that searches for the pattern. Straight-line substring search for A A B A A A int i = -1;sm: i++;s0: if (txt[i]) != 'A' goto sm;s1: if (txt[i]) != 'A' goto s0;s2: if (txt[i]) != 'B' goto s0;s3: if (txt[i]) != 'A' goto s2;s4: if (txt[i]) != 'A' goto s0;s5: if (txt[i]) != 'A' goto s3; return i-8;Could you kindly offer me with a ONE-OF-A-KIND example that shows the parallelism concept?you are to design a printer queue that is responsible for handling the printing requests coming from different users. You have to take into consideration that users have different levels of priorities. Each user has an identification number and a password, in addition to printing priorities. One good idea is to design the queue using an array or pointers while preserving the first-in first-out concept of the queue. For every printing request received, the program should check the priorities of that request and whether it can be moved forward in the queue to be served by the printer prior to serving the other requests. Using the programming language of your choice (preferably C++), write the printer queue that would handle the user request. The program must allow for requests coming from different users or from one user. Note: I need a working C++ code for this problem, and i need priorities.