Parallel Computing
About Course
This is a short course introducing the core concepts of parallel computing.
In an academic setting, it is designed as a 1-credit course suitable for undergraduate students in computer science, computer engineering, information technology, or other engineering disciplines.
The course uses the Python programming language to illustrate fundamental ideas; however, it is not programming-intensive. Rather, it focuses on systems concepts such as concurrency, task decomposition, synchronization, and performance.
The learning experience is text- and quiz-based, with no video components. Students will gain a conceptual understanding of how modern computing systems achieve performance through parallel execution and resource utilization.
Course Content
Introduction to Parallel and Concurrent Computing
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Goals of parallelism
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Quiz on Into
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Parallelism vs. Concurrency
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Quiz on Parallelism and Concurrency
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Forms of Parallelism
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Quiz on Forms of Parallelism
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Threads and Parallel Execution in Python
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Quiz on Threads and Processes
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Performance Metrics
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Quiz on Performance Metrics
Parallel Architectures and Memory Models
Designing Parallel Algorithms
GPU Usage
Performance and Applications
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