Practice - Data Parallelism
Practice Questions
Test your understanding with targeted questions
What is data parallelism?
💡 Hint: Think about how workload is distributed.
Name one framework that supports data parallelism.
💡 Hint: Consider popular machine learning frameworks.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does data parallelism enable in machine learning?
💡 Hint: Think about the impact of parallel processing.
True or False: Data parallelism only works on smaller datasets.
💡 Hint: Consider the purpose of parallel processing.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
You are tasked with optimizing a training process for a large dataset using data parallelism. What steps would you take to identify and mitigate communication overhead?
💡 Hint: Look behind the scenes—what happens when nodes talk to each other?
Imagine using both model parallelism and data parallelism in a single setup. Discuss the potential advantages and complexities that might arise.
💡 Hint: Consider how data and model interactions can complicate setups.
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Reference links
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