
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Questions
- Explain three methods to increase the performance of your computing hardware. Which method is used to develop GPUs?
- True or false: Improving latency will improve throughput.
- Fill in the blanks: CPUs are designed to improve ___ and GPUs are designed to improve __ .
- Take an example of traveling from one place to another that is 240 km away. You can take a car that can accommodate five people, with a speed of 60 kmph or a bus that can accommodate 40 people, with a speed of 40 kmph. Which option will provide better latency, and which option will provide better throughput?
- Explain the reasons that make GPU and CUDA particularly useful in computer vision applications.
- True or False: A CUDA compiler cannot compile code with no device code.
- In the Hello, CUDA! example discussed in this chapter, will the printf statement be executed by the host or the device?