High performance computing mcq unit 6 | CUDA mcq questions

CUDA mcq questions

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high performance computing mcq questions and answers

1. A CUDA program is comprised of two primary components: a host and a _

  1. GPU kernel
  2. CPU kernel
  3. OS
  4. none of above
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GPU kernel

2.The kernel code is dentified by the ________qualifier with void return type

  1. _host_
  2. __global__ 
  3. _device_
  4. void
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__global__

3. The kernel code is only callable by the host

  1. TRUE
  2. FALSE
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TRUE

4. The kernel code is executable on the device and host

  1. TRUE
  2. FALSE
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FALSE

5. Calling a kernel is typically referred to as _

  1. kernel thread
  2. kernel initialization
  3. kernel termination
  4. kernel invocation
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kernel invocation

6. Host codes in a CUDA application can Initialize a device

  1. TRUE
  2. FALSE
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TRUE

7. Host codes in a CUDA application can Allocate GPU memory

  1. TRUE
  2. FALSE
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TRUE

8. Host codes in a CUDA application can not Invoke kernels

  1. TRUE
  2. FALSE
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FALSE

9. CUDA offers the Chevron Syntax to configure and execute a kernel.

  1. TRUE
  2. FALSE
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TRUE

10. the BlockPerGrid and ThreadPerBlock parameters are related to the __ model supported by CUDA.

  1. host
  2. kernel
  3. thread abstraction
  4. none of above
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thread abstraction

high performance computing mcq sppu

11. _ is Callable from the device only

  1. _host_
  2. __global__ 
  3. _device_
  4. none of above
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_device_

12. __ is Callable from the host

  1. __global__ 
  2. _device_
  3. none of above
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__global__

13. CUDA supports __ in which code in a single thread is executed by all other threads.

  1. tread division
  2. tread termination
  3. thread abstraction
  4. none of above
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thread abstraction

14. In CUDA, a single invoked kernel is referred to as a _

  1. block
  2. tread
  3. grid
  4. none of above
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grid

15. A grid is comprised of __ of threads.

  1. block
  2. bunch
  3. host
  4. none of above
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block

16. Host codes in a CUDA application can not Reset a device

  1. TRUE
  2. FALSE
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FALSE

17. A block is comprised of multiple _

  1. treads
  2. bunch
  3. host
  4. none of above
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treads

18. a solution of the problem in representing the parallelism in algorithm is

  1. CUD
  2. PTA
  3. CDA
  4. CUDA
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CUDA

19. Host codes in a CUDA application can Transfer data to and from the device

  1. TRUE
  2. FALSE
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TRUE

high performance computing mcq questions

20. Host codes in a CUDA application can not Deallocate memory on the GPU

  1. TRUE
  2. FALSE
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FALSE

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