3 papers
cs.DB2026
Breaking the Storage-Compute Bottleneck in Billion-Scale ANNS: A GPU-Driven Asynchronous I/O Framework
Yang Xiao, Mo Sun, Ziyu Song +4
With the advancement of information retrieval, recommendation systems, and Retrieval-Augmented Generation (RAG), Approximate Nearest Neighbor Search (ANNS) gains widespread applica…
cs.DC2025
FpgaHub: Fpga-centric Hyper-heterogeneous Computing Platform for Big Data Analytics
Zeke Wang, Jie Zhang, Hongjing Huang +10
Modern data analytics requires a huge amount of computing power and processes a massive amount of data. At the same time, the underlying computing platform is becoming much more he…
cs.DC2024
LoHan: Low-Cost High-Performance Framework to Fine-Tune 100B Model on a Consumer GPU
Changyue Liao, Mo Sun, Zihan Yang +5
Nowadays, AI researchers become more and more interested in fine-tuning a pre-trained LLM, whose size has grown to up to over 100B parameters, for their downstream tasks. One appro…