Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.
Explores transactional memory and hardware simplification for concurrency control in software, emphasizing the benefits of hardware speculation and declarative concurrency.
Explores parallelism in programming, emphasizing trade-offs between programmability and performance, and introduces shared memory parallel programming using OpenMP.