CUDA mcq questions
high performance computing mcq questions and answers
1. A CUDA program is comprised of two primary components: a host and a _
- GPU kernel
- CPU kernel
- OS
- none of above
GPU kernel
2.The kernel code is dentified by the ________qualifier with void return type
- _host_
- __global__
- _device_
- void
__global__
3. The kernel code is only callable by the host
- TRUE
- FALSE
TRUE
4. The kernel code is executable on the device and host
- TRUE
- FALSE
FALSE
5. Calling a kernel is typically referred to as _
- kernel thread
- kernel initialization
- kernel termination
- kernel invocation
kernel invocation
6. Host codes in a CUDA application can Initialize a device
- TRUE
- FALSE
TRUE
7. Host codes in a CUDA application can Allocate GPU memory
- TRUE
- FALSE
TRUE
8. Host codes in a CUDA application can not Invoke kernels
- TRUE
- FALSE
FALSE
9. CUDA offers the Chevron Syntax to configure and execute a kernel.
- TRUE
- FALSE
TRUE
10. the BlockPerGrid and ThreadPerBlock parameters are related to the __ model supported by CUDA.
- host
- kernel
- thread abstraction
- none of above
thread abstraction
high performance computing mcq sppu
11. _ is Callable from the device only
- _host_
- __global__
- _device_
- none of above
_device_
12. __ is Callable from the host
- __global__
- _device_
- none of above
__global__
13. CUDA supports __ in which code in a single thread is executed by all other threads.
- tread division
- tread termination
- thread abstraction
- none of above
thread abstraction
14. In CUDA, a single invoked kernel is referred to as a _
- block
- tread
- grid
- none of above
grid
15. A grid is comprised of __ of threads.
- block
- bunch
- host
- none of above
block
16. Host codes in a CUDA application can not Reset a device
- TRUE
- FALSE
FALSE
17. A block is comprised of multiple _
- treads
- bunch
- host
- none of above
treads
18. a solution of the problem in representing the parallelism in algorithm is
- CUD
- PTA
- CDA
- CUDA
CUDA
19. Host codes in a CUDA application can Transfer data to and from the device
- TRUE
- FALSE
TRUE
high performance computing mcq questions
20. Host codes in a CUDA application can not Deallocate memory on the GPU
- TRUE
- FALSE
FALSE
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