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Provides an overview of computer architecture, focusing on the von Neumann architecture and its components, including the CPU and memory management units.
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 Magnetic Random Access Memory (MRAM) advantages, spin transport, magnetoresistance, HDD reading-writing, and spin-polarized currents for memory writing.
Explores memory virtualization, addressing address spaces, page tables, caching, and system design constants to optimize memory performance and reliability.
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Explores various addressing modes in microcontrollers, emphasizing the role of pointers and demonstrating their application in string manipulation and function implementation.
