Semaphored: meaning, definitions and examples
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semaphored
[ ˈsɛm.ə.fɔrd ]
programming term
Semaphore is a synchronization mechanism that is used to control access to a common resource in concurrent programming environments. Semaphores can be thought of as signaling devices that enable threads to communicate about the availability of resources. In practice, they are often used to manage access to shared data, preventing race conditions and ensuring data integrity. When a process wants to access a resource, it must acquire the semaphore; if the semaphore is already taken, the process is blocked until it becomes available again.
Synonyms
coordinate, signal, synchronize.
Examples of usage
- The thread was semaphores to wait for the resource.
- The application used semaphores to manage multiple threads.
- By using semaphores, we ensured that only one process could access the critical section.
- The implementation of semaphores improved the application's performance.
- Developers used semaphores to prevent deadlock situations.
Translations
Translations of the word "semaphored" in other languages:
🇵🇹 semáforo
🇮🇳 सिग्नल दिया गया
🇩🇪 signalisiert
🇮🇩 disinyalir
🇺🇦 сигналізував
🇵🇱 sygnalizowany
🇯🇵 信号を出した
🇫🇷 signalé
🇪🇸 señalizado
🇹🇷 semaforize edilmiş
🇰🇷 신호를 보냈다
🇸🇦 تم الإشارة إلى
🇨🇿 signalizováno
🇸🇰 signalizovaný
🇨🇳 发出信号
🇸🇮 signalizirano
🇮🇸 merki
🇰🇿 сигнал берілді
🇬🇪 სიგნალი გაიცა
🇦🇿 siqnal verildi
🇲🇽 señalizado
Etymology
The term 'semaphore' originates from the Greek words 'sema', meaning 'sign', and 'phoros', meaning 'to bear'. Its initial meaning referred to a signaling system that conveys information through visual signals, typically involving flags or lights. The concept was later adapted into computer science, where semaphore became a critical component in the development of concurrent programming languages and operating systems. In this context, semaphores are used to prevent race conditions and ensure that multiple processes can operate without conflicting with one another. The flexibility and reliability of semaphores have made them a cornerstone of modern programming paradigms, allowing developers to manage complexity in multi-threaded applications.