<p data-start="246" data-end="273">Hi everyone,

<p data-start="275" data-end="541">I&rsquo;m currently working on a multi-threaded application and I&rsquo;m running into challenges with <strong data-start="366" data-end="390">data synchronization between threads. Specifically, I&rsquo;m trying to make sure that shared resources are being updated correctly without causing conflicts or data corruption.

<p data-start="543" data-end="887">Here&rsquo;s the issue: I have several threads running parallel tasks that need to read and write to the same data structure. I&rsquo;ve tried using basic locking mechanisms, but I&rsquo;m finding that sometimes it leads to performance issues due to thread contention. Additionally, using locks everywhere seems a bit overkill for some of the less critical data.

<p data-start="889" data-end="1171">I was wondering: <strong data-start="906" data-end="989">What&rsquo;s the best way to balance google baseball<strong data-start="906" data-end="989"> thread safety with performance in this scenario? Should I stick with locking mechanisms (like mutexes or semaphores), or would something like lock-free data structures or atomic operations be a better fit for this kind of problem?

<p data-start="1173" data-end="1267">Has anyone here worked on a similar challenge and found a more efficient or scalable solution?



<p data-start="1269" data-end="1345">Looking forward to hearing your thoughts and suggestions! Thanks in advance!