Author

Bao-Tong Lu

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Preprint Sep 2026

Decoupling Disaggregated Memory Optimizations from Indexing: A Compiler-Runtime Approach

Disaggregated memory (DM) decouples compute and memory into independently scalable pools, connected over a slower interconnect rather than a local bus. This decoupling is exactly what makes DM attractive--but it also means that every index must now reason explicitly about remote-memory access and its associated optimiz...

Xin-Peng Zhao, Ze-Ling Long, Chaichon Wongkham et al. · 0 citations

Open access Jun 2026

Aker: Density-Aware Approximate Caching for Vector Search

Disk-based approximate nearest neighbor search (ANNS) incurs high I/O overhead due to frequent disk accesses during index traversal. Approximate caching, which reuses the results of past queries to serve future similar queries, offers a promising approach to bypass disk searches. However, existing approaches suffer fro...

Sukjoon Oh, Minki Kang, Dohyun Kim et al. · Proceedings of the VLDB Endo... · 0 citations

S !"#$ : A Scalable and Resize-optimized Hash Index on Disaggregated Memory

A novel architecture called S !"#$, designed to enhance the performance of hash indexes in disaggregated memory, is introduced and the results show that S !"#$ outperforms state-of-the-art DM-optimized hash indexes by at most 6.7 → (RACE), 3.6 → (SepHash), and 1.8 → (Outback) in YCSB workloads, respectively.

Han-Tian Zha, Teng Ma, Bao-Tong Lu et al. · 0 citations