MEDO leverages a novel multi-stream data offloading architecture, featuring parallel data streams and approximate LRU queues, to maximize throughput and efficiently handle diverse workloads and incorporates a lightweight, adaptive offloading agent that dynamically optimizes data placement decisions and fine-grained sys...
Jing Wang, Han-Zhang Yang, Chao Li et al.· Proceedings of the Internati...· 0 citations
The scale of data-intensive workloads in intelligent datacenters has grown rapidly in recent years, intensifying the need for efficient data movement within disaggregated memory pools across memory and storage subsystems. However, most existing solutions focus primarily on optimizing communication between compute nodes...
Jing Wang, Han-Zhang Yang, Chao Li et al.· Proceedings of the Internati...· 0 citations
BCE is presented, a GPU-co-designed, block-centric engine that makes range-top-k efficient by exposing a reusable intermediate representation of the data, and achieves sub-millisecond query latency and up to 308 × higher throughput than state-of-the-art GPU baselines, while performing billion-scale dynamic updates in m...
Chengying Huan, Ziheng Meng, Zhengyi Yang et al.· IEEE International Symposium...· 0 citations
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