What are the key performance metrics for parallel algorithms?
An example of an AI chatbot conversation about performance metrics for parallel algorithms.
What are the key performance metrics for parallel algorithms?
The key performance metrics for parallel algorithms include speedup, efficiency, scalability, and load balancing.
Can you explain speedup in more detail?
Speedup measures how much faster a parallel algorithm performs compared to its sequential counterpart. It's calculated as the ratio of the time taken to complete a task sequentially to the time taken in parallel.
What is efficiency in the context of parallel computing?
Efficiency is the ratio of the speedup to the number of processors used. It indicates how effectively the processors are utilized.
How do scalability and load balancing affect performance?
Scalability refers to how well an algorithm can handle increasing amounts of work or processors. Load balancing ensures that all processors have an equal amount of work, which is crucial for maintaining performance as the system scales.
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