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This lecture covers the concept of flash-based GPU-accelerated queries in the context of data-intensive applications and systems. It discusses the challenges posed by the storage hierarchy, the benefits of using SSDs, and the impact of heterogeneous compute resources. The presentation explores the performance improvements achieved by NVMe technology, the bottleneck shifts based on query complexity, and the role of PCIe in overcoming bottlenecks for GPUs. It also delves into experimental setups, bottleneck identification, and the importance of storage bandwidth and CPU/GPU execution. The lecture concludes with insights on latency sensitivity, workload design considerations, and the need for tailored solutions in the evolving storage landscape.
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