What are the best practices for implementing parallel algorithms?
When implementing parallel algorithms, consider factors like load balancing, minimizing communication overhead, and ensuring data locality.
Can you explain why load balancing is important?
Load balancing ensures that all processors or threads are utilized efficiently, preventing some from being idle while others are overloaded.
What techniques can I use for minimizing communication overhead?
Techniques include using shared memory, reducing the frequency of communication, and optimizing data transfer sizes.
How do I ensure data locality in my algorithms?
To ensure data locality, structure your data access patterns to keep data close to the processing units that use it, reducing latency.
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