
Task Level Parallelism
Quiz
•
Computers
•
12th Grade
•
Practice Problem
•
Hard
rashed alazzeh
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18 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is data parallelism in task level parallelism?
Data parallelism is the execution of different tasks on multiple data elements.
Data parallelism is the execution of a single task on a single data element.
Data parallelism in task level parallelism is the simultaneous execution of the same task on multiple data elements.
Data parallelism involves sequential execution of tasks on multiple data elements.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the concept of instruction level parallelism.
Instruction level parallelism allows multiple instructions to be executed at the same time within a single pipeline, improving performance.
Instruction level parallelism involves executing multiple instructions simultaneously in different pipelines.
Instruction level parallelism is a technique that focuses on optimizing memory access rather than instruction execution.
Instruction level parallelism refers to executing instructions one after the other in a sequential manner.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does thread level parallelism differ from data parallelism?
Thread level parallelism and data parallelism are essentially the same concept.
Data parallelism executes multiple threads within a single process.
Thread level parallelism executes multiple threads within a single process, while data parallelism performs the same operation on multiple data pieces in parallel.
Thread level parallelism executes the same operation on multiple data pieces in parallel.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Give an example of data parallelism in a real-world scenario.
Image processing
Weather forecasting
Social media analytics
Online shopping recommendations
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the benefits of instruction level parallelism?
Decreased performance and efficiency
Increased cost and complexity
No impact on performance
Improved performance and efficiency
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Discuss the challenges of implementing thread level parallelism.
Instruction set architecture
Memory allocation
Data dependencies, synchronization, race conditions, workload distribution
Hardware dependencies
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can data parallelism improve performance in computing tasks?
Data parallelism has no impact on performance in computing tasks.
Data parallelism improves performance by executing multiple sub-tasks simultaneously on different processing units.
Data parallelism slows down performance by overloading processing units with multiple tasks.
Data parallelism improves performance by executing tasks sequentially on a single processing unit.
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