Parallelism: Programming and Performance

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Explores cache coherence in multiprocessor systems, including protocols and challenges.

Covers the importance of concurrency, atomic operations, and mutual exclusion using locks.

Covers magnetic fields, Ampère's law, and magnetic dipoles with examples and illustrations.

Explores hardware-based transactional memory for simplifying concurrency control and improving performance in hash tables.

Explores concurrent programming theory and practice, covering system models, cache coherence, and graph processing.

Explains dynamic memory allocation in C, focusing on the realloc function and its implications for managing memory effectively.

Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.

Covers the basics of compilation and C++ programming, including variables, functions, loops, and debugging.

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