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Covers the course CS206 on Parallelism and Concurrency, including logistics, materials, exercise sessions, labs, exams, and grading criteria.
Explores concurrency primitives, mutual exclusion, and synchronization pitfalls in operating systems, focusing on condition variables and semaphores.
Covers wait-free implementations of atomic objects, focusing on counters and snapshots, discussing key ideas for enforcing atomicity and wait-freedom.
Covers the basics of parallel programming, including exploiting parallelism in algorithms and the importance of avoiding race conditions.
Explores the principles of reactive programming and message processing semantics in Akka, emphasizing actor encapsulation, reliable messaging, and message delivery guarantees.
