Discusses scheduling internals, metrics, and policies in computer systems, emphasizing efficiency and the complexities of modern multi-core architectures.
Explores parallelism in programming, emphasizing trade-offs between programmability and performance, and introduces shared memory parallel programming using OpenMP.
Covers pipelining in computer architecture, focusing on its role in enhancing performance through instruction-level parallelism and addressing associated challenges.
