Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.
Explores challenges and innovations in database systems, emphasizing the need for efficient data management and adapting to modern hardware advancements.
Covers pipelining in computer architecture, focusing on its role in enhancing performance through instruction-level parallelism and addressing associated challenges.
Explores parallelism in programming, emphasizing trade-offs between programmability and performance, and introduces shared memory parallel programming using OpenMP.
