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Explores the interaction between operating systems and devices, covering device drivers, IO basics, hardware structure, buses, disk performance, and RAID levels.
Covers advanced Spark optimizations, memory management, shuffle operations, and data partitioning strategies to improve big data processing efficiency.
Covers semester projects, project logistics, successful project examples, proposal writing, and various project options related to systems, threading, serverless programming, virtual memory, cloud benchmarking, and AI accelerators.
Explores memory consistency, coherence, weak consistency, and sequential consistency, emphasizing the importance of language-level consistency and data race-free programming.