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This lecture delves into the micro-architectural analysis of database workloads, focusing on the behavior of modern database management systems (DBMS). The instructor discusses the impact of instruction footprint size and data access patterns on DBMS performance. Various hardware and software-level interferences are explored, along with methodologies for optimizing DBMS performance. The lecture also covers the evolution of DBMS hardware and the importance of mitigating data cache stalls. Case studies and benchmarks are used to illustrate the concepts discussed.
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