Quiz on Parallel and Distributed Computing

In Data Parallelism, what does each processor do with its subset of data?

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What is one of the key reasons for studying Parallel and Distributed Computing?

• Historical interest

• Reducing individual task complexity

• Handling big data

• Enhancing personal communication

What is an example of data parallelism in computer science?

• Team of chefs preparing a single complex dish

• Rendering a scene in computer graphics

• Multiprocessor systems with shared RAM

• Applying filters to different regions of an image simultaneously

In the context of parallel computing, what does "Concurrency Control" refer to?

• Efficient resource utilization

• Managing concurrent processes

• Handling big data

• Load balancing

Why is understanding fault tolerance and reliability important in parallel and distributed computing?

• For improving programming efficiency

• To enhance system resilience

• To reduce system load

• For optimizing software performance

In which scenario is task parallelism most relevant?

• Applying filters to different regions of an image

• Simultaneous execution of multiple threads or processes

• Rendering a scene in computer graphics

• Handling large-scale parallel processing

Which subtopic involves distinguishing between parallel computing and distributed computing?

• Task Parallelism

• Differentiating between Parallel and Distributed Computing

• Shared Memory Systems

• Fault Tolerance and Reliability

What do parallel programming models define?

• The number of processors in a system

• How tasks are structured and coordinated to run sequentially

• How tasks can be structured and coordinated to run concurrently on multiple processors

• The speed of individual processors

What is the primary characteristic of SIMD (Single Instruction, Multiple Data) paradigm?

• Each processor has its own memory space

• Different processors execute independent instructions concurrently

• A single instruction is applied to multiple data elements simultaneously

• It simplifies communication but requires synchronization mechanisms

What is the relevance of learning about Cloud Computing in the study of Parallel and Distributed Computing?

• Enhancing personal computing skills

• Knowledge in cloud computing is irrelevant to distributed systems

• Essential for working with cloud-based technologies

• Only applicable in scientific research