High performance computing MCQ Unit 6 | HPC MCQ

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

  1. 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

  1. The kernel code is only callable by the host

TRUE
FALSE

Answer: TRUE

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

TRUE
FALSE

Answer: FALSE

  1. Calling a kernel is typically referred to as _

kernel thread
kernel initialization
kernel termination
kernel invocation

Answer: kernel invocation

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

TRUE
FALSE

Answer: TRUE

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

TRUE
FALSE

Answer: TRUE

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

TRUE
FALSE

Answer: FALSE

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

TRUE
FALSE

Answer: TRUE

  1. 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

  1. _ is Callable from the device only

host
global
device
none of above

Answer: device

  1. __ is Callable from the host

global
device
none of above

Answer: global

  1. 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

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

block
tread
grid
none of above

Answer: grid

  1. A grid is comprised of __ of threads.

block
bunch
host
none of above

Answer: block

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

TRUE
FALSE

Answer: FALSE

  1. A block is comprised of multiple _

treads
bunch
host
none of above

Answer: treads

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

CUD
PTA
CDA
CUDA

Answer: CUDA

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

TRUE
FALSE

Answer: TRUE

high performance computing mcq questions

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

TRUE
FALSE

Answer: FALSE

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