2 papers
cs.DB2026
Optimizing SSD-Resident Graph Indexing for High-Throughput Vector Search
Weichen Zhao, Yuncheng Lu, Yao Tian +5
Graph-based approximate nearest neighbor search (ANNS) methods (e.g., HNSW) have become the de facto state of the art for their high precision and low latency. To scale beyond main…
cs.DB2025
AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines
Lixiang Chen, Yuxing Han, Yu Chen +3
Modern analytical query engines (AQEs) are essential for large-scale data analysis and processing. These systems usually provide numerous query-level tunable knobs that significant…