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Explores memory consistency, cache coherence, and relaxed models in modern CPUs, emphasizing the balance between strict ordering and flexible memory operations.
Covers the principles and mechanisms of virtual memory in computer systems, focusing on isolation, efficiency, and the role of the Memory Management Unit.
Provides an overview of computer architecture, focusing on the von Neumann architecture and its components, including the CPU and memory management units.
Covers the principles of synchronization in parallel computing, focusing on shared memory synchronization and different methods like locks and barriers.
Covers the principles and mechanisms of virtualization, including multiplexing, aggregation, and emulation, with a focus on virtual memory implementation.
Explores parallelism in programming, emphasizing trade-offs between programmability and performance, and introduces shared memory parallel programming using OpenMP.
Explores the impact of locality on system design, discussing strategies to optimize efficiency and performance through data layout, lock design, and data movement minimization.
Explores the landscape of big data, memory importance in online services, challenges faced by memory systems, emerging DRAM technologies, and storage-class memory.
