10) To manage data sharing between threads using locks

Wed, 29 Apr 2026 18:03:39 +0000

# Managing Data Sharing Between Threads Using Locks: A Comprehensive Guide In modern multi-threaded programming, efficiently and safely sharing data between concurrent threads is essential. One of the most effective ways to prevent data corruption and race conditions is using locks to manage concurrent data access. This article explores how locks help control access to shared resources, ensuring data integrity and reliable application behavior in multi-threaded environments. ## Why Thread Synchronization Matters When multiple threads access and modify shared data simultaneously, unpredictable outcomes can occur—commonly known as race conditions. These issues arise when the final result depends on the unpredictable timing of thread execution. For example, two threads updating a shared counter without coordination might overwrite each other’s changes, leading to incorrect counts.