Lernen Why Concurrency Matters | Concurrency Foundations

As you have learned, concurrency allows a program to execute multiple tasks at the same time, either by truly running them in parallel on multiple CPU cores or by interleaving their execution on a single core. The importance of concurrency stems from several key benefits: improved performance, enhanced responsiveness, and greater scalability.

In desktop applications, concurrency keeps user interfaces smooth and interactive, even while processing large files or performing heavy computations;
In web servers, concurrency allows handling thousands of client requests at the same time, improving throughput and reducing wait times;
In scientific computing, concurrency enables the simultaneous processing of large datasets, speeding up simulations and analyses;
In game development, concurrency separates rendering, physics, and input handling, ensuring smooth gameplay and fast response to user actions.

main.cpp


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#include <iostream>
#include <thread>
#include <chrono>

// Simulate a long-running task
void longTask()
{
    std::cout << "Long task started...\n";
    std::this_thread::sleep_for(std::chrono::seconds(3));
    std::cout << "Long task finished!\n";
}

int main()
{
    std::cout << "Demo WITHOUT concurrency:\n";
    longTask();
    std::cout << "You can only see this after the long task is done.\n\n";

    std::cout << "Demo WITH concurrency:\n";
    std::thread t(longTask);
    std::cout << "You can see this message immediately, while the long task runs in the background.\n";
    t.join();
}

Performance gains are often the most visible advantage. Modern computers have multiple cores, and single-threaded applications cannot fully utilize them. By distributing work across threads, programs run faster and handle more tasks in less time. Responsiveness is equally important in apps with user interfaces or time-sensitive operations. Moving long-running tasks to background threads keeps the main thread responsive. Scalability is another key benefit, as servers can handle many clients at once by processing requests concurrently and using system resources efficiently.

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In desktop applications, concurrency keeps user interfaces smooth and interactive, even while processing large files or performing heavy computations;
In web servers, concurrency allows handling thousands of client requests at the same time, improving throughput and reducing wait times;
In scientific computing, concurrency enables the simultaneous processing of large datasets, speeding up simulations and analyses;
In game development, concurrency separates rendering, physics, and input handling, ensuring smooth gameplay and fast response to user actions.

main.cpp


              1234567891011121314151617181920212223
            
#include <iostream>
#include <thread>
#include <chrono>

// Simulate a long-running task
void longTask()
{
    std::cout << "Long task started...\n";
    std::this_thread::sleep_for(std::chrono::seconds(3));
    std::cout << "Long task finished!\n";
}

int main()
{
    std::cout << "Demo WITHOUT concurrency:\n";
    longTask();
    std::cout << "You can only see this after the long task is done.\n\n";

    std::cout << "Demo WITH concurrency:\n";
    std::thread t(longTask);
    std::cout << "You can see this message immediately, while the long task runs in the background.\n";
    t.join();
}

War alles klar?

Danke für Ihr Feedback!

Abschnitt 1. Kapitel 2