Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.
Explores lock-free synchronization for performance and scalability in distributed systems, covering unique identifier generation, messaging queues, and atomic RDMA reads.
Explores the concept of locking for mutual exclusion in OS, covering race conditions, parallelism, atomic instructions, deadlock prevention, and best practices.
