Difficulty: Advanced. Categories: Systems & Networks.
Parallel Computation is a specialized course that introduces students to parallel programming techniques and high-performance computing concepts essential for efficient AI and machine learning applications. The course covers fundamental concepts including thread-based programming, process synchronization, parallel algorithms, GPU programming with CUDA, and distributed computing frameworks. Through hands-on programming exercises using C++, Python, and CUDA, students will implement parallel algorithms for matrix operations, numerical computations, and data processing tasks. By the end of the course, students will understand how to leverage parallel processing to train deep neural networks, handle large-scale datasets, and optimize computational bottlenecks in modern AI systems.
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