Practice Gpu Architecture (10.4.1) - Vector, SIMD, GPUs

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10 questions

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6 sample questions

Question 1.
What does GPU stand for?
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It's related to rendering visuals.
Question 2.
True or False: GPU architecture is mainly beneficial for graphics work only.
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Think about machine learning and other applications.
3Question 3.
What does GPU stand for?
- General Processing Unit
- Graphics Processing Unit
- Global Processing Unit
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Consider its primary role in rendering graphics.
4Question 4.
True or False: GPUs are generally better than CPUs for all computing tasks.
- True
- False
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Think about specific applications.
Question 5.
Explain the trade-offs between using CPUs and GPUs for data-heavy applications. What factors should be considered during deployment?
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Consider speed versus complexity.
Question 6.
Design a simple pseudocode algorithm that utilizes GPU processing for a common machine learning task. Describe its advantages.
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Think about how tasks can be divided among cores.

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