Covers the components of a processor, ISA classifications, specific ISAs like MIPS, assembly language examples, and the importance of machine instruction regularity.
Covers processor architecture, evolution of performance, algorithms to computers transition, registers, instructions, arithmetic unit, and memory management.
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Covers pipelining in computer architecture, focusing on its role in enhancing performance through instruction-level parallelism and addressing associated challenges.
