3 papers
cs.DB2026
AI Query Compilation for Unified and Optimized Execution
Yeounoh Chung, Helena Caminal, Fatma Ozcan
In this vision paper, we propose a novel architectural paradigm for accelerated AI query execution via a unified compiled execution strategy. By compiling the hybrid AI Query as a…
cs.DB2026
An In-Depth Study of Filter-Agnostic Vector Search on a PostgreSQL Database System: [Experiments and Analysis]
Duo Lu, Helena Caminal, Manos Chatzakis +4
Filtered Vector Search (FVS) is critical for supporting semantic search and GenAI applications in modern database systems. However, existing research most often evaluates algorithm…
cs.AR2025
Membrane: Accelerating Database Analytics with Bank-Level DRAM-PIM Filtering
Akhil Shekar, Kevin Gaffney, Martin Prammer +9
In-memory database query processing frequently involves substantial data transfers between the CPU and memory, leading to inefficiencies due to Von Neumann bottleneck. Processing-i…