What is the role of AI in cache coherence?
AI plays a crucial role in optimizing cache coherence by predicting data access patterns and managing cache states.
Can you explain how AI predicts data access patterns?
AI uses machine learning algorithms to analyze historical data access patterns, allowing it to anticipate future requests.
What are the benefits of using AI for cache coherence?
The benefits include improved performance, reduced latency, and efficient resource utilization in multi-core systems.
Are there any challenges in implementing AI for cache coherence?
Yes, challenges include the complexity of algorithms, the need for large datasets, and ensuring real-time performance.
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