Practice - Parallelism and Distributed Computing
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Practice Questions
Test your understanding with targeted questions
What is parallelism in computing?
💡 Hint: Think about how tasks can be divided.
Define data parallelism.
💡 Hint: Consider how data can be distributed.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is data parallelism?
💡 Hint: Consider how data is handled during training.
True or False: Model parallelism is used when a single model can fit into a single device's memory.
💡 Hint: Think about the limitations of device memory.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Consider a scenario where an AI model cannot fit into the memory of a single device. Explain how model parallelism would address this and provide an example.
💡 Hint: Think about distributing parts of the work to fit within memory constraints.
Analyze a case where data parallelism could significantly reduce training time for a deep learning model. What factors would contribute to this improvement?
💡 Hint: Consider how speed increases as tasks are divided and executed simultaneously.
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Reference links
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