This lecture, presented by the instructor at MICRO-54, focuses on accelerated data management systems through real-time specialization. The lecture covers topics such as performance analytics on heterogeneous hardware, fast equi-join algorithms, GPU-aware radix-join, and accelerator-conscious analytics. It also discusses the challenges and benefits of device specialization, hardware-conscious analytics, and workload isolation in hybrid transactional and analytical processing. The lecture concludes with insights on intelligent real-time systems and the importance of GPU accessing fresh data from CPU memory.
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