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What is a parallel algorithm?
What is a parallel algorithm?
A parallel algorithm is a recipe that tells us how to solve a given problem using multiple processors.
What is the added dimension of concurrency in a parallel algorithm?
What is the added dimension of concurrency in a parallel algorithm?
The added dimension of concurrency in a parallel algorithm involves specifying sets of steps that can be executed simultaneously.
What are some tasks involved in specifying a parallel algorithm?
What are some tasks involved in specifying a parallel algorithm?
Specifying a parallel algorithm may include identifying portions of the work that can be performed concurrently, mapping concurrent pieces of work onto multiple processes, distributing associated data, managing accesses to shared data, and synchronizing processors.
Why is it essential to specify sets of steps that can be executed simultaneously in a parallel algorithm?
Why is it essential to specify sets of steps that can be executed simultaneously in a parallel algorithm?
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What are the stages of a parallel algorithm?
What are the stages of a parallel algorithm?
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Study Notes
Parallel Algorithm Design
- A parallel algorithm is a set of instructions that solves a problem using multiple processors.
- Specifying a parallel algorithm involves more than just outlining the steps, it requires considering concurrency and simultaneous execution of steps.
- The added dimension of concurrency is essential to obtain performance benefits from using a parallel computer.
Key Elements of Parallel Algorithm Design
- Identifying portions of the work that can be performed concurrently.
- Mapping concurrent pieces of work onto multiple processes running in parallel.
- Distributing input, output, and intermediate data associated with the program.
- Managing accesses to data shared by multiple processors.
- Synchronizing processors at various stages of the parallel execution.
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Description
Test your knowledge on the principles of parallel algorithm design with this quiz. Explore the concepts of concurrency and learn how to specify steps for solving problems using multiple processors.
