What are the main challenges of parallel computing in AI?
The main challenges include data dependency, load balancing, communication overhead, and debugging complexity.
Can you explain data dependency in more detail?
Data dependency occurs when the output of one operation is required as input for another, complicating parallel execution.
How does load balancing affect performance?
Load balancing ensures that all processors are utilized efficiently, preventing some from being overworked while others are idle.
What strategies can be used to minimize communication overhead?
Strategies include minimizing data transfer, using efficient algorithms, and optimizing data structures to reduce inter-process communication.
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