Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.
Explores memory consistency, coherence, weak consistency, and sequential consistency, emphasizing the importance of language-level consistency and data race-free programming.
Explores parallelism in programming, emphasizing trade-offs between programmability and performance, and introduces shared memory parallel programming using OpenMP.
Explores scalable synchronization mechanisms for many-core operating systems, focusing on the challenges of handling data growth and regressions in OS.
Explores the significance of concurrency in enhancing system performance and responsiveness, emphasizing the need for synchronization and atomicity to prevent race conditions and non-determinism.
Explores memory consistency in multiprocessor systems, discussing coherence, consistency models, and the trade-offs between ordering constraints and performance.
