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Explores scalable synchronization mechanisms for many-core operating systems, focusing on the challenges of handling data growth and regressions in OS.
Explores the concept of locking for mutual exclusion in OS, covering race conditions, parallelism, atomic instructions, deadlock prevention, and best practices.
Covers the basics of processes in operating systems, including creation, memory layout, state transitions, virtualization, APIs, and program execution.
Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.
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 the significance of lock-free synchronization for achieving low latency in distributed systems and discusses practical solutions for unique identifier generation and messaging queues.
Covers the principles of synchronization in parallel computing, focusing on shared memory synchronization and different methods like locks and barriers.
