Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.
Explores the concept of locking for mutual exclusion in OS, covering race conditions, parallelism, atomic instructions, deadlock prevention, and best practices.
Explores memory consistency, coherence, weak consistency, and sequential consistency, emphasizing the importance of language-level consistency and data race-free programming.
Covers the basics of programming, including the development cycle of a program, strong typing, data storage in Java variables, and primitive data types.
Explores parallelism in programming, emphasizing trade-offs between programmability and performance, and introduces shared memory parallel programming using OpenMP.
Explores lock-free synchronization for performance and scalability in distributed systems, covering unique identifier generation, messaging queues, and atomic RDMA reads.
Explores the significance and challenges of transactions, emphasizing ACID properties and the practical implications of using transactional memory for concurrency control.
Explores memory consistency, weak consistency, and language-level guarantees in memory ordering, emphasizing the importance of data race free programming.
