Hands-On GPU:Accelerated Computer Vision with OpenCV and CUDA
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Questions

  1. Explain three methods to increase the performance of your computing hardware. Which method is used to develop GPUs?
  2. True or false: Improving latency will improve throughput.
  3. Fill in the blanks: CPUs are designed to improve ___ and GPUs are designed to improve __ .
  4. 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?
  5. Explain the reasons that make GPU and CUDA particularly useful in computer vision applications.
  6. True or False: A CUDA compiler cannot compile code with no device code.
  7. In the Hello, CUDA! example discussed in this chapter, will the printf statement be executed by the host or the device?