Given an array A[0..n-1], write the following CUDA program using shared memory: Each thread splits and merges two subarrays of size n/p in each iterations. Use shared memory and multiple blocks.
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Given an array A[0..n-1], write the following CUDA
Each thread splits and merges two subarrays of size n/p in each iterations. Use shared memory and multiple
blocks.
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- Given an array A[0..n-1], write the following versions of CUDA programs with and without using shared memory. Each thread splits and merges two subarrays of size n/p in each iterations. Use shared memory and multiple blocks. Experiment to get best performances.Write a problem in java program search for a number N inside a randomly generated array of size 200 using 5 threads. Problem description: Create an integer array, arr of size 200 and generate 200 random numbers for that array. Write a program where you need to search a number in that given array, arr. Distribute the given array into five threads and perform the search in parallel. Suppose one thread searches for the input number from the index 0 to 40. Another search can be performed from the index 41-80 in another thread.Take an input N. Now search for N in the array using 5 threads.Write a C code to perform vector arithmetic: Define 3 vectors A[100], B[100], C[100]. Get n from as a command line argument. Example if n=10, then (./vector 10), and create n processes. (n will be one of Divisors of 100). Get operation from user: add, sub. Each process will create a number of threads. Number of threads per process = 100/(10 number of processes). Perform the operation on a chunk of the vector, for example, if n = 10, each process will create (100/10*10=1) 1 thread to add\sub 10 elements. Use execl to run the add or sub programs Parent should print A.B.C in a file. (yourname.txt) For example, n=5, operation sub Partition work equally to each process: PO create (100/10*5=2) 2 threads → Thread00 will executes A[0:9] B[0:9]-C [0:9] = Thread01 will executes A[10:19] B[10:19]-C[10:19] = PI create (100/10*5=2) 2 threads → Thread 10 will executes A[20:29] = B[20:29]-C [20:29] Thread11 will executes A[30:39] B[30:39]- C[30:39] = and so on. no…
- USE SIMPLE PYTHON MULTI THREADING code to perform parallel array summing. replace the mthod of using processes to complete and use threading techniques to do the same the thing. 1) Basic version with two levels of threads (master and slaves)One master thread aggregates and sums the result of n slave-threads where each slavethread sums a different range of values in an array of 1000 random integers (please program to generate 1000 random integers to populate the array). The number of slave-threads is a parameter which the user can change. For example, if the user chooses 4 slave threads, each slave thread will sum 1000/4 = 250 numbers. If the user chooses 3 slave threads, the first two may each sum 333 numbers and the third slave threadsums the rest 334 numbers. 2) Advanced version with more than two levels of threadsThe master thread creates two slave-threads where each slave-thread is responsible to sum half segment of the array. Each slave thread will fork/spawn two new…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…Consider the below algorithm: for (i=1;i < n;i++){ for (j=1;j < m;j++){ Alloc[i][j]=( 2i *( j+1 ) % 7) } } This part of the problem involves in deriving the Allocation matrix for a set of threads for implementing Banker's algorithm. Consider the system has five threadts (T0~T4) and five resourses (A~E) [Remember all threads are in CAPITAL letter]. Currents allocation matrix follows the following rule: T0 has allocated resources equal to the value of row A[2] of Alloc[i][j] array, T1 has equal to row A[3], T2 has equal to row A[6], T3 has equal to row A[10] and T4 has equal to row A[12]. [Hints. answer only the values one after another starting with resourse A, then resource B without any space or anything in between. for example - if you insert 12345, that will mean the thread is allocated 1 instance of resource A, 2 instance of resource B and so on. ] The Maximum Requirment matrix is given below: T0: 2 6 3 7 6 T1: 6 5 5 3 3 T2: 4 2 8 5 3 T3: 6 6 4 3 2 T4: 7 3 6 2 5 The…
- Write a complete Assembly Language program for (80x60) microprocessor to: Find the largest and smallest number from an array present in the memeory locations 0401-040A and store the Largest number in 040B (Largest No) and 040C (Smallest No). Note :numbers in the array are [67h,32h,6Fh,57h,22h,16h,08h,49h,78h,1Dh]. Show the output after execution.1. Transform the following program into parallel program using openmp, and run your program. #include int main(int argc, char * argv[]) { int i, thread id; int glob nloops, priv nloops; glob nloops = 0; // parallelize this code { priv nloops 0; thread id = // parallelize this code for (i=0; i<100000; ++i) { ++priv_nloops; } // make this code critical { printf("Thread %d is adding its iterations (%d) to sum (%d), ", thread id, priv nloops, glob nloops); glob nloops += priv nloops; printf(" total nloops is now %d.\n", glob nloops); } printf("Total # loop iterations is %d\n", glob nloops); return 0; (priv nloops, thread id) simmon wwwmmmmmmTask: Given two matrices X and Y, multiply them in parallel to store the result in matrix Z You should write an openMP program with the following points in consideration: Analyze the speedup and efficiency of the parallelized code. Vary the size of your matrices from 100,1000, and 2000 and measure the runtime with one thread. For each matrix size, change the number of threads from 2,4,8., and plot the speedup versus the number of threads. Compute the efficiency. Explain whether or not the scaling behavior is as expected.
- 2. Implement the frame replacement algorithm for virtual memory In Java For this task, you need to perform the simulation of page replacement algorithms. Create a Java program which allows the user to specify: • the total of frames currently exist in memory (F), the total of page requests (N) to be processed, • the list or sequence of N page requests involved, For example, if N is 10, user must input a list of 10 values (ranging between 0 to TP-1) as the request sequence. Optionally you may also get additional input, the total of pages (TP) This input is optional for your program/work. It only be used to verify that each of the page number given in the request list is valid or invalid. Valid page number should be within the range 0, .. , TP-1. Page number outside the range is invalid. Then use the input data to calculate the number of page faults produced by each of the following page replacement algorithms: • First-in-first-out (FIFO) - the candidate that is the first one that entered…In the cellular automata, some cells are filled while others are empty. Assume having a Boolean array of values corresponding to filled and empty cells, develop a Java code segment to plot the updated cellular automata assuming cell width and height is c, and the number of cells per row is n and the number of cells per column is n. solve it using Java2d and implement thread or timer in solutionComputer Science (JAVA computer science) DO NOT COPY AND PASTE THE ANSWER FROM THE FIRST OR SECOND TIME I POSTED THIS. THIS IS DONE IN JAVA, NOT C. this is the third time I have to post this. Using java, make an array of 100,000 random numbers, and a program that computes the sum of the numbers, and times how long it takes. The program needs to compare the amount of time it takes to compute the sum vs the # of threads used. The # of threads varies from 1 to 50. Every time it should be comparing the same array of numbers vs the number of threads, so I can see how the # of threads affects the time elapsed while the array is the constant variable. Please make a global variable that all of the threads can use, and use a single JAVA class. potential output: # of threads: X sum: _____ time: ____ # of threads: Y sum: _____ time: ____ etc... thanks. (you dont have to include all the numbers for the array, I can generate my own set from a txt file or whatever)