Delves into challenges of real-time decision-making in data-intensive systems, covering query-driven data sanitization, hardware optimization, and GPU data access.
Covers the principles of synchronization in parallel computing, focusing on shared memory synchronization and different methods like locks and barriers.
Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.