Practice General-purpose Gpus (gpgpus) (10.4.2) - Vector, SIMD, GPUs - Computer Architecture

Practice: General-Purpose GPUs (GPGPUs)

Lesson 10.4.2Vector, SIMD, GPUs

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9 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does GPGPU stand for?
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Think about the role of GPUs beyond just graphics.
Question 2.
Name a programming model developed by NVIDIA specific to GPGPU.
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Remember the name of the NVIDIA technology.
3Question 3.
What is the primary advantage of GPGPUs compared to traditional GPUs?
- They are faster at rendering graphics.
- They can handle general-purpose computations.
- They use less power.
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Consider what 'general-purpose' implies.
4Question 4.
True or False: GPGPUs have similar architectures to traditional CPUs.
- True
- False
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Think about the differences in processing styles.
Question 5.
Analyze the implications of utilizing GPGPUs for real-time data processing in applications like autonomous vehicles. Discuss the trade-offs involved.
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Consider the need for both speed and safety in critical applications.
Question 6.
Design a simple GPGPU application using CUDA that performs matrix multiplication. Explain how the parallel nature of GPGPUs enhances performance in this scenario.
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Think about how dividing tasks among multiple threads speeds up the process.

5 more questions in this section. Enroll free to practise them all.