Remove old code files from talat branch
This commit is contained in:
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ccc19d3074
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27
Dockerfile
27
Dockerfile
@ -1,27 +0,0 @@
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FROM debian:stable-slim
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# ... (all the apt-get install and ssh setup lines are unchanged) ...
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RUN apt-get update && apt-get install -y --no-install-recommends \
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g++ \
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make \
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openmpi-bin \
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libopenmpi-dev \
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openssh-server && \
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rm -rf /var/lib/apt/lists/*
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RUN mkdir -p /var/run/sshd
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RUN ssh-keygen -t rsa -f /root/.ssh/id_rsa -N ''
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RUN cat /root/.ssh/id_rsa.pub >> /root/.ssh/authorized_keys
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RUN chmod 600 /root/.ssh/authorized_keys
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RUN echo "Host *\n\tStrictHostKeyChecking no" >> /root/.ssh/config
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RUN sed -i 's/#PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config
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# ... (all previous lines are the same) ...
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WORKDIR /app
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COPY . /app/
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# Compile ONLY task4 during the build to avoid unrelated compile failures
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RUN mpic++ -O2 -std=c++17 -o task5 task5.cpp
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RUN chmod +x /app/task4 || true
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@ -1,5 +0,0 @@
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# command to run: docker-compose up --build
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# command to shut down: docker-compose down
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# Roll numbers: 22i-1601, 22i-1554, 22i-1689
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@ -1,61 +0,0 @@
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services:
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master:
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build: .
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container_name: pdc-master
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volumes:
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- ./hostfile:/app/hostfile
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environment:
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- FRIENDLY_NAME=pdc-master
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# This line automatically reads from the .env file
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command: >
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sh -c "/usr/sbin/sshd & sleep 5 && mpirun -np 5 --hostfile /app/hostfile --allow-run-as-root /app/${TASK_TO_RUN:-task1}"
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networks:
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- pdcn
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worker1:
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build: .
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container_name: pdc-worker1
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# REMOVED the 'hostname:' line
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# ADDED the 'environment:' block
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environment:
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- FRIENDLY_NAME=pdc-worker1
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command: /usr/sbin/sshd -D
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networks:
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- pdcn
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worker2:
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build: .
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container_name: pdc-worker2
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# REMOVED the 'hostname:' line
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# ADDED the 'environment:' block
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environment:
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- FRIENDLY_NAME=pdc-worker2
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command: /usr/sbin/sshd -D
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networks:
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- pdcn
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worker3:
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build: .
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container_name: pdc-worker3
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# REMOVED the 'hostname:' line
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# ADDED the 'environment:' block
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environment:
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- FRIENDLY_NAME=pdc-worker3
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command: /usr/sbin/sshd -D
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networks:
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- pdcn
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worker4:
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build: .
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container_name: pdc-worker4
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# REMOVED the 'hostname:' line
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# ADDED the 'environment:' block
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environment:
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- FRIENDLY_NAME=pdc-worker4
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command: /usr/sbin/sshd -D
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networks:
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- pdcn
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networks:
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pdcn:
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driver: bridge
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5
hostfile
5
hostfile
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master slots=1
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worker1 slots=1
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worker2 slots=1
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worker3 slots=1
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worker4 slots=1
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67
task.cpp
67
task.cpp
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#include <iostream>
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#include <vector>
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#include <string>
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#include <algorithm>
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#include <mpi.h>
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int main(int argc, char** argv) {
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MPI_Init(&argc, &argv);
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int world_size;
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MPI_Comm_size(MPI_COMM_WORLD, &world_size);
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int world_rank;
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MPI_Comm_rank(MPI_COMM_WORLD, &world_rank);
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if (world_rank == 0) {
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// Master process
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std::string message = "HELLOWORLDFROMMPI"; // A longer string to see the effect
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std::cout << "Original Message: " << message << std::endl;
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std::cout << "Total processes (world size): " << world_size << std::endl;
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int msg_len = message.length();
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int part_size = msg_len / world_size;
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// Send each worker its part of the string
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for (int i = 1; i < world_size; ++i) {
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int start_index = i * part_size;
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// The last worker gets any remaining characters
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int current_part_size = (i == world_size - 1) ? (msg_len - start_index) : part_size;
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std::string part = message.substr(start_index, current_part_size);
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MPI_Send(part.c_str(), part.size() + 1, MPI_CHAR, i, 0, MPI_COMM_WORLD);
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}
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// Master processes its own part
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std::string master_part = message.substr(0, part_size);
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std::reverse(master_part.begin(), master_part.end());
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// A vector to store results in order
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std::vector<std::string> results(world_size);
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results[0] = master_part;
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// Receive reversed parts from workers
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for (int i = 1; i < world_size; ++i) {
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char buffer[256];
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MPI_Recv(buffer, 256, MPI_CHAR, i, 0, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
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results[i] = std::string(buffer);
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}
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// Combine and print the final result
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std::string final_result = "";
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for (int i = 0; i < world_size; ++i) {
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final_result += results[i];
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}
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std::cout << "Final Result: " << final_result << std::endl;
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} else {
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// Worker processes
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char buffer[256];
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MPI_Recv(buffer, 256, MPI_CHAR, 0, 0, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
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std::string part(buffer);
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std::reverse(part.begin(), part.end());
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MPI_Send(part.c_str(), part.size() + 1, MPI_CHAR, 0, 0, MPI_COMM_WORLD);
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}
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MPI_Finalize();
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return 0;
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}
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76
task1.cpp
76
task1.cpp
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#include <iostream>
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#include <vector>
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#include <mpi.h>
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#include <unistd.h> // Required for gethostname() and getpid()
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#include <cstdlib> // Required for getenv()
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// Roll numbers: 22i-1601, 22i-1554, 22i-1689
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// Question 1
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int main(int argc, char** argv) {
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MPI_Init(&argc, &argv)
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int world_size;
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MPI_Comm_size(MPI_COMM_WORLD, &world_size);
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int world_rank;
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MPI_Comm_rank(MPI_COMM_WORLD, &world_rank);
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// This will now get the unique Container ID, e.g., "039f5fe4970d"
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char container_id[256];
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gethostname(container_id, sizeof(container_id));
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// This gets the friendly name from the environment variable we set
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const char* friendly_name = getenv("FRIENDLY_NAME");
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if (friendly_name == nullptr) {
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friendly_name = "unknown"; // A fallback in case the variable isn't set
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}
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pid_t pid = getpid();
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int num_workers = world_size - 1;
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if (world_rank == 0) {
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// --- MASTER PROCESS ---
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int data[] = {1, 2, 3, 4};
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// ... (error checking code is the same) ...
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// Updated print statement with all information
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std::cout << "Master on " << friendly_name << " (ID: " << container_id << ", PID: " << pid
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<< ", rank: 0): sending numbers 1,2,3,4 to workers..." << std::endl;
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for (int i = 0; i < num_workers; ++i) {
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MPI_Send(&data[i], 1, MPI_INT, i + 1, 0, MPI_COMM_WORLD);
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}
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std::vector<int> results(num_workers);
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for (int i = 0; i < num_workers; ++i) {
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int received_result;
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MPI_Recv(&received_result, 1, MPI_INT, i + 1, 0, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
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results[i] = received_result;
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}
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std::cout << "Master on " << friendly_name << " (ID: " << container_id << ", PID: " << pid
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<< ", rank: 0): collected results {";
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for (int i = 0; i < results.size(); ++i) {
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std::cout << results[i] << (i == results.size() - 1 ? "" : ",");
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}
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std::cout << "}" << std::endl;
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} else {
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// --- WORKER PROCESSES ---
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int received_number;
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MPI_Recv(&received_number, 1, MPI_INT, 0, 0, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
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int computed_result = received_number * 10;
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// Updated print statement with all information
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std::cout << "Worker on " << friendly_name << " (ID: " << container_id << ", PID: " << pid
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<< ", rank: " << world_rank << "): received " << received_number
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<< ", computed " << computed_result << std::endl;
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MPI_Send(&computed_result, 1, MPI_INT, 0, 0, MPI_COMM_WORLD);
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}
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MPI_Finalize();
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return 0;
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}
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93
task2.cpp
93
task2.cpp
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#include <iostream>
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#include <vector>
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#include <mpi.h>
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#include <unistd.h> // Required for gethostname() and getpid()
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#include <cstdlib> // Required for getenv()
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#include <string> // Required for std::string
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// Roll numbers: 22i-1601, 22i-1554, 22i-1689
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// Question 2
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int main(int argc, char** argv) {
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MPI_Init(&argc, &argv);
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int world_size;
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MPI_Comm_size(MPI_COMM_WORLD, &world_size);
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int world_rank;
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MPI_Comm_rank(MPI_COMM_WORLD, &world_rank);
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char container_id[256];
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gethostname(container_id, sizeof(container_id));
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const char* friendly_name = getenv("FRIENDLY_NAME");
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if (friendly_name == nullptr) { friendly_name = "unknown"; }
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pid_t pid = getpid();
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int num_workers = world_size - 1;
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if (world_rank == 0) {
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// --- MASTER PROCESS ---
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// Q2. Master has an array {2,3,4,5}.
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int data[] = {2, 3, 4, 5};
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int data_count = sizeof(data) / sizeof(int);
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if (data_count != num_workers) {
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std::cerr << "Error: This task requires exactly 4 workers (" << num_workers
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<< " found). Please run with -np 5." << std::endl;
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MPI_Abort(MPI_COMM_WORLD, 1);
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}
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std::cout << "Master on " << friendly_name << " (ID: " << container_id << ", PID: " << pid
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<< ", rank: 0): distributing array {2,3,4,5} to workers." << std::endl;
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for (int i = 0; i < num_workers; ++i) {
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MPI_Send(&data[i], 1, MPI_INT, i + 1, 0, MPI_COMM_WORLD);
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}
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std::vector<int> results(num_workers);
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for (int i = 0; i < num_workers; ++i) {
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int received_result;
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MPI_Recv(&received_result, 1, MPI_INT, i + 1, 0, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
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results[i] = received_result;
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}
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std::cout << "Master on " << friendly_name << " (ID: " << container_id << ", PID: " << pid
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<< ", rank: 0): gathered results {";
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for (int i = 0; i < results.size(); ++i) {
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std::cout << results[i] << (i == results.size() - 1 ? "" : ",");
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}
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std::cout << "}" << std::endl;
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} else {
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// --- WORKER PROCESSES ---
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int received_number;
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MPI_Recv(&received_number, 1, MPI_INT, 0, 0, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
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int computed_result = 0;
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std::string operation_string;
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// Q2. Different workers perform different computations based on their rank.
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if (world_rank == 1) {
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computed_result = received_number * received_number;
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operation_string = "squared ->";
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} else if (world_rank == 2) {
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computed_result = received_number * received_number * received_number;
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operation_string = "cubed ->";
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} else if (world_rank == 3) {
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computed_result = received_number * 2;
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operation_string = "doubled ->";
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} else if (world_rank == 4) {
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computed_result = received_number - 1;
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operation_string = "subtracted 1 ->";
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}
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std::cout << "Worker on " << friendly_name << " (ID: " << container_id << ", PID: " << pid
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<< ", rank: " << world_rank << "): received " << received_number
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<< ", " << operation_string << " " << computed_result << std::endl;
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MPI_Send(&computed_result, 1, MPI_INT, 0, 0, MPI_COMM_WORLD);
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}
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MPI_Finalize();
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return 0;
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}
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46
task4.cpp
46
task4.cpp
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#include <mpi.h>
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#include <cstdio>
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int main(int argc, char** argv) {
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int rank;
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int worldSize;
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MPI_Init(&argc, &argv);
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MPI_Comm_size(MPI_COMM_WORLD, &worldSize);
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MPI_Comm_rank(MPI_COMM_WORLD, &rank);
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const int elementsPerProcess = 5;
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int sendBuffer[elementsPerProcess];
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for (int i = 0; i < elementsPerProcess; ++i) {
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sendBuffer[i] = rank; // Each process fills its buffer with its rank
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}
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int* receiveBuffer = nullptr;
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if (rank == 0) {
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receiveBuffer = new int[elementsPerProcess * worldSize];
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}
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MPI_Gather(
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sendBuffer, // send buffer
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elementsPerProcess, // number of elements sent
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MPI_INT, // type of each element sent
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receiveBuffer, // receive buffer (root only)
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elementsPerProcess, // number of elements received from each proc
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MPI_INT, // type of each element received
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0, // root rank
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MPI_COMM_WORLD // communicator
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);
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if (rank == 0) {
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for (int p = 0; p < worldSize; ++p) {
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for (int i = 0; i < elementsPerProcess; ++i) {
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std::printf("Process %d sent: %d\n", p, receiveBuffer[p * elementsPerProcess + i]);
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}
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}
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delete[] receiveBuffer;
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}
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std::printf("Bye from %d\n", rank);
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MPI_Finalize();
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return 0;
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}
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62
task5.cpp
62
task5.cpp
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#include <mpi.h>
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#include <cstdio>
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#include <vector>
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int main(int argc, char** argv) {
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MPI_Init(&argc, &argv);
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int worldSize = 0;
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int worldRank = 0;
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MPI_Comm_size(MPI_COMM_WORLD, &worldSize);
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MPI_Comm_rank(MPI_COMM_WORLD, &worldRank);
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// Enforce exactly 5 processes (hard-coded layout below assumes 5 ranks)
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if (worldSize != 5) {
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if (worldRank == 0) {
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std::printf("This program must be run with exactly 5 MPI processes.\n");
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}
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MPI_Abort(MPI_COMM_WORLD, 1);
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}
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// Hard-coded total elements and source data on root
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const int totalElements = 17;
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std::vector<int> sendBuffer;
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if (worldRank == 0) {
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sendBuffer.resize(totalElements);
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for (int i = 0; i < totalElements; ++i) {
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sendBuffer[i] = i; // 0..16
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}
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}
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// Hard-coded sendCounts and displacements for 5 ranks and 17 elements
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// Rank 0 -> 4 elems [0..3]
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// Rank 1 -> 4 elems [4..7]
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// Rank 2 -> 3 elems [8..10]
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// Rank 3 -> 3 elems [11..13]
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// Rank 4 -> 3 elems [14..16]
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const int sendCounts[5] = {4, 4, 3, 3, 3};
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const int displacements[5] = {0, 4, 8, 11, 14};
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const int myReceiveCount = sendCounts[worldRank];
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std::vector<int> receiveBuffer(myReceiveCount, -1);
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MPI_Scatterv(
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worldRank == 0 ? sendBuffer.data() : nullptr, // sendbuf (root only)
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sendCounts, // sendcounts (root only)
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displacements, // displs (root only)
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MPI_INT, // send type
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receiveBuffer.data(), // recvbuf (all ranks)
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myReceiveCount, // recvcount for this rank
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MPI_INT, // recv type
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0, // root
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MPI_COMM_WORLD // communicator
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);
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for (int i = 0; i < myReceiveCount; ++i) {
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std::printf("Rank %d received element %d: %d\n", worldRank, i, receiveBuffer[i]);
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}
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std::printf("Bye from %d\n", worldRank);
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MPI_Finalize();
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return 0;
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}
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