Quiz on Parallel and Distributed Computing

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

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