Explores GPUs' architecture, CUDA programming, image processing, and their significance in modern computing, emphasizing early start and correctness in GPU programming.
Explores parallelism in programming, emphasizing trade-offs between programmability and performance, and introduces shared memory parallel programming using OpenMP.
Delves into challenges of real-time decision-making in data-intensive systems, covering query-driven data sanitization, hardware optimization, and GPU data access.
