I’m working with an x86 processor and need to read data that resides in another processor’s cache line. I am coding in C++. The data is initially in an Exclusive (E) or Modified (M) state in the owner’s cache, and when I read it, it transitions to a Shared (S) state. Data resides in a single cache line.

My main concern is that the owner’s performance may decrease because, while writing, it must first signal all other processors to invalidate their caches as the data transitions from a Shared (S) state to a Modified (M) state. I want to ensure that my repeated reads don’t significantly affect the owner’s cache performance by causing unnecessary invalidation traffic.

Currently, I am polling the cache line repeatedly to check for updates. However, I’m worried this approach might lead to performance degradation for the owner due to frequent invalidation signals.

Is there a more efficient method to handle this situation? Specifically:

How can I minimize the performance impact on the owner when I repeatedly read the cache line?
Are there any architectural or programming techniques available on x86 to optimize cache line read access and minimize invalidation traffic?
I’m looking for strategies or methods that can help me achieve efficient cache line reads while ensuring minimal interference with the owner’s cache operations.