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CSC4700-Working With Types
CSC4700-Roofline Model, Sparse Matrix Computation
CSC4700-Tasks & Concurrency (1st Part)
CSC4700-Distributed Parallelism with HPX (1st Part)
CSC4700 -Threads & Synchronization
CSC4700-Tasks & Concurrency (2nd Part)
CSC4700-Monte Carlo Methods
CSC4700-The C++ Standard Library, Containers and Algorithms
CSC4700-Integrating C++ and Python
CSC4700-Development Environment
CSC4700-GPU Programming, the C++ way
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Last Updated: October 19, 2026
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Summary
Parallel C++ for Scientific Applications is a course that focuses on the parallel implementation of computational mathematics ... This lecture introduces distributed parallelism in computing. Sequential execution and shared memory parallelization are ... This lecture covers the types and objects in C++, emphasizing on their properties and how they impact code correctness and ... This lecture continues a discussion on task-based parallelism in C++, focusing on asynchronous parallelism and unique methods ... This lecture discusses integrating C++ and Python. It explains how to combine the user-friendliness and extensive libraries of ...