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Questions and Answers
Which type of computing involves executing instructions sequentially on a single processor?
Which type of computing involves executing instructions sequentially on a single processor?
- Serial computing (correct)
- Distributed computing
- Parallel computing
- Concurrent computing
What is the main characteristic of parallel computing?
What is the main characteristic of parallel computing?
- A control/coordination mechanism is not needed
- Multiple compute resources are used
- Instructions execute simultaneously on different processors (correct)
- Instructions are executed sequentially
How is a problem typically broken down in parallel computing?
How is a problem typically broken down in parallel computing?
- Into a single instruction
- Into a control/coordination mechanism
- Into discrete parts that can be solved concurrently (correct)
- Into a series of instructions
What is the purpose of a control/coordination mechanism in parallel computing?
What is the purpose of a control/coordination mechanism in parallel computing?
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What is the main difference between serial computing and parallel computing?
What is the main difference between serial computing and parallel computing?
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Study Notes
Serial Computing
- Executes instructions sequentially on one processor.
- Each task must complete before the next begins, leading to longer processing times for complex problems.
Parallel Computing
- Main characteristic: simultaneous execution of multiple tasks.
- Designed to increase computational speed and efficiency.
Problem Breakdown in Parallel Computing
- Complex problems are divided into smaller, independent tasks.
- Each task can be processed simultaneously on different processors.
Control/Coordination Mechanism in Parallel Computing
- Essential for managing and synchronizing tasks.
- Ensures tasks run efficiently and correctly, preventing conflicts and resource contention.
Differences Between Serial and Parallel Computing
- Serial computing processes tasks one at a time; parallel computing handles multiple tasks simultaneously.
- Parallel computing typically results in faster processing for large-scale problems compared to serial computing.
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