Rescuing Data Center Processors

This lecture covers the challenges faced by data center processors in terms of efficiency and performance, presenting solutions that involve a combination of hardware and software optimizations. The instructor discusses the importance of diagnosing and solving hardware problems efficiently, focusing on data and instruction cache issues, branch prediction techniques, and architectural abstractions. The lecture also explores the impact of stale profiles on applications and introduces innovative approaches like incremental monitoring, offline analysis, and context-driven conditional prefetching. Additionally, it showcases the research contributions and real-world applications of the proposed solutions, emphasizing the collaborative efforts with industry partners and the recognition received through various awards.