Final Assessment on Parallel Processing

What is the main advantage of parallel processing?

• It reduces the need for memory.

• It increases processing speed by dividing tasks among multiple processors.

• It simplifies the software development process.

• It eliminates the need for input/output devices.eduqas

According to Amdahl's Law, the potential speedup of a task using parallel processing is limited by the ______ portion of the task that cannot be parallelized.

Match the following terms with their correct descriptions:

• • Amdahl's Law

• • The execution of the same operation on multiple data points simultaneously.

• • Data Parallelism

• • The extra time required to coordinate and exchange data between processors.

• • Communication Overhead

• A formula used to find the maximum possible speedup for a task.

• • Task Parallelism

• • Different tasks are performed concurrently on different processors.

Drag and drop the steps of calculating runtime using Amdahl's Law in the correct order.

• • Calculate the runtime by dividing the original runtime by the speedup.

• • Apply Amdahl's Law formula to calculate speedup.

• • Identify the serial and parallel portions of the task.

• • Determine the number of processors.

If 75% of a task can be parallelized, and you use 8 processors, what is the speedup according to Amdahl's Law? (Use the formula: Speedup = 1 / (S + P/N), where S is the serial portion and P is the parallel portion.)

Mathematical Equivalence

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Reorder the steps in the process of parallel processing execution.

• • Combine the results into a final output.

• • Synchronise the processors' results.

• • Assign parts to different processors.

• • Divide the task into smaller parts.

Explain one challenge of parallel processing and how it can be mitigated.

Organize these options into the right categories

Groups:

(a) Advantages

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(b) Challenges

• • Flexibility in customization

• • Streamlined workflows

• • Improved efficiency

• • Complexity in programming

• • Cost-effective solutions

• • Resource constraints

• • Performance bottlenecks

• • Data privacy concerns

• • Scalability options

• • Increased processing speed

• • Compatibility problems

• • Learning curve for new technologies

• • Enhanced user experience

• • Synchronisation issues

• • Increased productivity

Which of the following is a key benefit of using parallel processing in computing?

• It reduces the cost of hardware.

• It allows for faster data processing by utilizing multiple processors simultaneously.

• It simplifies the user interface design.

• It decreases the power consumption of the system.

What is a common application of parallel processing?

• Word processing

• Web browsing

• Scientific simulations

• Basic arithmetic calculations