#include <iostream> #include <vector> #include <cstdlib> #include <ctime> #include <mpi.h> // Sequential Quicksort void quicksort(std::vector<int>& arr, int low, int high) { if (low < high) { int pivot = arr[low]; int i = low + 1; int j = high; while (i <= j) { if (arr[i] <= pivot) { i++; } else if (arr[j] > pivot) { j--; } else { std::swap(arr[i], arr[j]); i++; j--; } } std::swap(arr[low], arr[j]); quicksort(arr, low, j - 1); quicksort(arr, j + 1, high); } } // Parallel Quicksort using MPI void parallelQuicksort(std::vector<int>& arr, int low, int high) { int size, rank; MPI_Comm_size(MPI_COMM_WORLD, &size); MPI_Comm_rank(MPI_COMM_WORLD, &rank); if (size == 1) { quicksort(arr, low, high); return; } int n = high - low + 1; int pivot, partitionSize, partitionStart; if (rank == 0) { // Choose a random pivot srand(time(nullptr)); int pivotIndex = rand() % n; pivot = arr[low + pivotIndex]; // Broadcast the pivot to all processes MPI_Bcast(&pivot, 1, MPI_INT, 0, MPI_COMM_WORLD); // Partition the array partitionSize = n / size; partitionStart = low + pivotIndex - partitionSize / 2; } else { // Receive the broadcasted pivot MPI_Bcast(&pivot, 1, MPI_INT, 0, MPI_COMM_WORLD); // Calculate the partition size and start index partitionSize = n / size; partitionStart = low + rank * partitionSize; } // Allocate memory for the local partition std::vector<int> localArr(partitionSize); // Scatter the array to all processes MPI_Scatter(&arr[partitionStart], partitionSize, MPI_INT, &localArr[0], partitionSize, MPI_INT, 0, MPI_COMM_WORLD); // Perform local quicksort quicksort(localArr, 0, partitionSize - 1); // Gather the sorted local partitions MPI_Gather(&localArr[0], partitionSize, MPI_INT, &arr[partitionStart], partitionSize, MPI_INT, 0, MPI_COMM_WORLD); // Perform final sorting at rank 0 if (rank == 0) { // Recursively sort the remaining elements quicksort(arr, low, partitionStart - 1); quicksort(arr, partitionStart + n / size, high); } } int main(int argc, char** argv) { MPI_Init(&argc, &argv); int rank; MPI_Comm_rank(MPI_COMM_WORLD, &rank); if (rank == 0) { std::vector<int> arr = {5, 2, 8, 12, 1, 6, 3, 9}; int n = arr.size(); std::cout << "Original array: "; for (int i = 0; i < n; i++) { std::cout << arr[i] << " "; } std::cout << std::endl; std::vector<int> seqArr = arr; // Copy of the original array for sequential sorting double seqStartTime = MPI_Wtime(); quicksort(seqArr, 0, n - 1); double seqEndTime = MPI_Wtime(); std::cout << "Sequential Quicksort - Sorted array: "; for (int i = 0; i < n; i++) { std::cout << seqArr[i] << " "; } std::cout << std::endl; std::cout << "Sequential Quicksort - Execution time: " << (seqEndTime - seqStartTime) << " seconds" << std::endl; } MPI_Barrier(MPI_COMM_WORLD); // Wait for all processes to reach this point std::vector<int> parArr = {5, 2, 8, 12, 1, 6, 3, 9}; // Copy of the original array for parallel sorting double parStartTime = MPI_Wtime(); parallelQuicksort(parArr, 0, parArr.size() - 1); double parEndTime = MPI_Wtime(); if (rank == 0) { std::cout << "Parallel Quicksort - Sorted array: "; for (int i = 0; i < parArr.size(); i++) { std::cout << parArr[i] << " "; } std::cout << std::endl; std::cout << "Parallel Quicksort - Execution time: " << (parEndTime - parStartTime) << " seconds" << std::endl; } MPI_Finalize(); return 0; }
Write, Run & Share C++ code online using OneCompiler's C++ online compiler for free. It's one of the robust, feature-rich online compilers for C++ language, running on the latest version 17. Getting started with the OneCompiler's C++ compiler is simple and pretty fast. The editor shows sample boilerplate code when you choose language as C++
and start coding!
OneCompiler's C++ online compiler supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample program which takes name as input and print your name with hello.
#include <iostream>
#include <string>
using namespace std;
int main()
{
string name;
cout << "Enter name:";
getline (cin, name);
cout << "Hello " << name;
return 0;
}
C++ is a widely used middle-level programming language.
When ever you want to perform a set of operations based on a condition If-Else is used.
if(conditional-expression) {
//code
}
else {
//code
}
You can also use if-else for nested Ifs and If-Else-If ladder when multiple conditions are to be performed on a single variable.
Switch is an alternative to If-Else-If ladder.
switch(conditional-expression){
case value1:
// code
break; // optional
case value2:
// code
break; // optional
......
default:
code to be executed when all the above cases are not matched;
}
For loop is used to iterate a set of statements based on a condition.
for(Initialization; Condition; Increment/decrement){
//code
}
While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.
while (condition) {
// code
}
Do-while is also used to iterate a set of statements based on a condition. It is mostly used when you need to execute the statements atleast once.
do {
// code
} while (condition);
Function is a sub-routine which contains set of statements. Usually functions are written when multiple calls are required to same set of statements which increases re-usuability and modularity. Function gets run only when it is called.
return_type function_name(parameters);
function_name (parameters)
return_type function_name(parameters) {
// code
}