DPS921 - Parallel Algorithms And Programming Techniques

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Last revision date Apr 8, 2019 11:16:29 AM
Last review date Apr 8, 2019 11:16:57 AM

Subject Title
Parallel Algorithms And Programming Techniques

Subject Description

Data-intensive and compute-intensive problems benefit from programming solutions that execute instructions in parallel. A variety of programming models are available for implementing parallel algorithms. Students study industry-standard parallel patterns and learn how to implement parallel algorithms on multi-processor accelerators, shared-memory systems and distributed-memory systems using these programming models.

Credit Status
1 credit (3 units)
Professional option for BSD - Bachelor of Technology (Software Development)

Learning Outcomes
Upon successful completion of this subject the student will be able to:

1. Create a programming solution using a parallel pattern to solve a specific problem in algorithm design
2. Design a shared-memory solution using directives or extensions to implement a task-parallel or data-parallel pattern
3. Design a distributed-memory solution using a message passing library to scale the solution
4. Compose a programming solution using multiple models to optimize the solution's performance
5. Tune a parallel algorithm using an analysis tool to optimize the algorithm's performance
6. Analyze a parallel algorithm using a debugging tool to locate errors in the algorithm

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