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This set of High Performance Computing HPC Multiple Choice Questions & Answers (MCQs) focuses on High Performance Computing Set 1
Q1 | A CUDA program is comprised of two primary components: a host and a _____.
- gpu??kernel
- cpu??kernel
- os
- none of above
Q2 | The kernel code is dentified by the ________qualifier with void return type
- _host_
- __global__??
- _device_
- void
Q3 | The kernel code is only callable by the host
- true
- false
Q4 | The kernel code is executable on the device and host
- true
- false
Q5 | Calling a kernel is typically referred to as _________.
- kernel thread
- kernel initialization
- kernel termination
- kernel invocation
Q6 | Host codes in a CUDA application can Initialize a device
- true
- false
Q7 | Host codes in a CUDA application can Allocate GPU memory
- true
- false
Q8 | Host codes in a CUDA application can not Invoke kernels
- true
- false
Q9 | CUDA offers the Chevron Syntax to configure and execute a kernel.
- true
- false
Q10 | the BlockPerGrid and ThreadPerBlock parameters are related to the ________ model supported by CUDA.
- host
- kernel
- thread??abstraction
- none of above
Q11 | _________ is Callable from the device only
- _host_
- __global__??
- _device_
- none of above
Q12 | ______ is Callable from the host
- _host_
- __global__??
- _device_
- none of above
Q13 | ______ is Callable from the host
- _host_
- __global__??
- _device_
- none of above
Q14 | CUDA supports ____________ in which code in a single thread is executed by all other threads.
- tread division
- tread termination
- thread abstraction
- none of above
Q15 | In CUDA, a single invoked kernel is referred to as a _____.
- block
- tread
- grid
- none of above
Q16 | A grid is comprised of ________ of threads.
- block
- bunch
- host
- none of above
Q17 | A block is comprised of multiple _______.
- treads
- bunch
- host
- none of above
Q18 | a solution of the problem in representing the parallelismin algorithm is
- cud
- pta
- cda
- cuda
Q19 | Host codes in a CUDA application can not Reset a device
- true
- false
Q20 | Host codes in a CUDA application can Transfer data to and from the device
- true
- false
Q21 | Host codes in a CUDA application can not Deallocate memory on the GPU
- true
- false
Q22 | Any condition that causes a processor to stall is called as _____.
- hazard
- page fault
- system error
- none of the above
Q23 | The time lost due to branch instruction is often referred to as _____.
- latency
- delay
- branch penalty
- none of the above
Q24 | _____ method is used in centralized systems to perform out of order execution.
- scorecard
- score boarding
- optimizing
- redundancy
Q25 | The computer cluster architecture emerged as an alternative for ____.
- isa
- workstation
- super computers
- distributed systems