2 papers
cs.DB2026
GPU-Accelerated ANNS: Quantized for Speed, Built for Change
Hunter McCoy, Zikun Wang, Prashant Pandey
Approximate nearest neighbor search (ANNS) is a core problem in machine learning and information retrieval applications. GPUs offer a promising path to high-performance ANNS: they…
cs.DC2025
WarpSpeed: A High-Performance Library for Concurrent GPU Hash Tables
Hunter McCoy, Prashant Pandey
GPU hash tables are increasingly used to accelerate data processing, but their limited functionality restricts adoption in large-scale data processing applications. Current limitat…