What are the main challenges of parallel processing in AI?
An example of an AI chatbot conversation about challenges in parallel processing for AI systems.
What are the main challenges of parallel processing in AI?
The main challenges include data dependency, load balancing, and communication overhead among processors.
Can you explain data dependency in more detail?
Data dependency occurs when the output of one process 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 about communication overhead?
Communication overhead refers to the time and resources spent on data exchange between processors, which can slow down processing.
Are there any solutions to these challenges?
Yes, techniques like task scheduling, efficient algorithms, and optimized data sharing can help mitigate these challenges.
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