2 papers
cs.AR2026
ComFuse: Fusing Complex Memory-Intensive Subgraphs with Compute-Intensive Kernels For Modern GPU Architectures
Di Mu, Tengyuan Jin, Zhenkun Wang +6
Modern deep learning workloads increasingly comprise heterogeneous computation graphs that combine compute-intensive operators with memory-intensive subgraphs. Existing deep learni…
cs.DB2025
Dynamically Detect and Fix Hardness for Efficient Approximate Nearest Neighbor Search
Zhiyuan Hua, Qiji Mo, Zebin Yao +8
Approximate Nearest Neighbor Search (ANNS) has become a fundamental component in many real-world applications. Among various ANNS algorithms, graph-based methods are state-of-the-a…