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This lecture delves into the micro-architectural analysis of OLAP workloads, focusing on the limitations and opportunities they present in terms of CPU cycles usage, execution time breakdown, and the impact of different processor architectures. The instructor discusses the challenges faced by OLAP workloads, such as instruction overhead, bandwidth-bound data cache stalls, and latency-bound data cache stalls, and explores potential investigation directions to address these challenges.
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