Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.
Provides an overview of MicroC/OS-II, a real-time kernel with multitasking capabilities and deterministic functions, covering topics such as task management, kernel, and intertask communication.
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.
Covers the concept of virtual memory and the isolation of processes through address spaces, discussing segmentation, paging, and memory implementation details.
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.
