What is Concurrency?
Concurrency means managing multiple tasks at once by interleaving their execution, while parallelism runs tasks simultaneously on different processors or cores.
Concurrency and parallelism are two foundational concepts in modern software development. Imagine a chef preparing several dishes: with concurrency, the chef switches between tasks like chopping vegetables, boiling water, and grilling one at a time but rapidly, making progress on each. With parallelism, there are several chefs, each working on a different dish at the same time.
main.cpp
12345678910111213141516171819202122232425#include <iostream> #include <thread> // Function to simulate a task void task(const std::string& name, int count) { for (int i = 1; i <= count; ++i) std::cout << name << " step " << i << std::endl; } int main() { std::cout << "Sequential execution:\n"; // Tasks run one after another task("Task A", 3); // Task A completes all steps before Task B starts task("Task B", 3); std::cout << "\nConcurrent execution:\n"; // Tasks run concurrently (may overlap) std::thread t1(task, "Task A", 3); std::thread t2(task, "Task B", 3); t1.join(); // Wait for Task A to finish t2.join(); // Wait for Task B to finish }
In C++, understanding these distinctions is crucial for writing efficient, robust, and correct multi-threaded programs.
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Can you explain the difference between concurrency and parallelism with more examples?
What are some common use cases for concurrency and parallelism in C++?
Can you clarify the difference between a process and a thread?
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Completion rate improved to 7.69What is Concurrency?
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Concurrency means managing multiple tasks at once by interleaving their execution, while parallelism runs tasks simultaneously on different processors or cores.
Concurrency and parallelism are two foundational concepts in modern software development. Imagine a chef preparing several dishes: with concurrency, the chef switches between tasks like chopping vegetables, boiling water, and grilling one at a time but rapidly, making progress on each. With parallelism, there are several chefs, each working on a different dish at the same time.
main.cpp
12345678910111213141516171819202122232425#include <iostream> #include <thread> // Function to simulate a task void task(const std::string& name, int count) { for (int i = 1; i <= count; ++i) std::cout << name << " step " << i << std::endl; } int main() { std::cout << "Sequential execution:\n"; // Tasks run one after another task("Task A", 3); // Task A completes all steps before Task B starts task("Task B", 3); std::cout << "\nConcurrent execution:\n"; // Tasks run concurrently (may overlap) std::thread t1(task, "Task A", 3); std::thread t2(task, "Task B", 3); t1.join(); // Wait for Task A to finish t2.join(); // Wait for Task B to finish }
In C++, understanding these distinctions is crucial for writing efficient, robust, and correct multi-threaded programs.
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