High Performance Computing MCQ Questions and Answers UNIT 6 What is High performance computing ? HPC – High Performance Computing is the use of parallel processing for running advanced application programs efficiently, reliably and quickly. The term applies especially to systems that function above a teraflop or 1012 floating-point operations per second. The term HPC is occasionally used as a synonym for supercomputing, although technically a supercomputer is a system that performs at or near the currently highest operational rate for computers. Some supercomputers work at more than a petaflop or 1015 floating-point operations per second.
High Performance Computing MCQ UNIT – 6
high performance computing mcq questions and answers
High Performance Computing MCQ questions and answers
- A CUDA program is comprised of two primary components: a host and a _
GPU kernel
CPU kernel
OS
none of above
Answer: GPU kernel
2.The kernel code is dentified by the ________qualifier with void return type
host
global
device
void
Answer: global
- The kernel code is only callable by the host
TRUE
FALSE
Answer: TRUE
- The kernel code is executable on the device and host
TRUE
FALSE
Answer: FALSE
- Calling a kernel is typically referred to as _
kernel thread
kernel initialization
kernel termination
kernel invocation
Answer: kernel invocation
- Host codes in a CUDA application can Initialize a device
TRUE
FALSE
Answer: TRUE
- Host codes in a CUDA application can Allocate GPU memory
TRUE
FALSE
Answer: TRUE
- Host codes in a CUDA application can not Invoke kernels
TRUE
FALSE
Answer: FALSE
- CUDA offers the Chevron Syntax to configure and execute a kernel.
TRUE
FALSE
Answer: TRUE
- the BlockPerGrid and ThreadPerBlock parameters are related to the __ model supported by CUDA.
host
kernel
thread abstraction
none of above
Answer: thread abstraction
high performance computing mcq sppu
- _ is Callable from the device only
host
global
device
none of above
Answer: device
- __ is Callable from the host
global
device
none of above
Answer: global
- CUDA supports __ in which code in a single thread is executed by all other threads.
tread division
tread termination
thread abstraction
none of above
Answer: thread abstraction
- In CUDA, a single invoked kernel is referred to as a _
block
tread
grid
none of above
Answer: grid
- A grid is comprised of __ of threads.
block
bunch
host
none of above
Answer: block
- Host codes in a CUDA application can not Reset a device
TRUE
FALSE
Answer: FALSE
- A block is comprised of multiple _
treads
bunch
host
none of above
Answer: treads
- a solution of the problem in representing the parallelism in algorithm is
CUD
PTA
CDA
CUDA
Answer: CUDA
- Host codes in a CUDA application can Transfer data to and from the device
TRUE
FALSE
Answer: TRUE
high performance computing mcq questions
- Host codes in a CUDA application can not Deallocate memory on the GPU
TRUE
FALSE
Answer: FALSE
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