24 citations · 26 across the 6 of their papers we have counts for
4 papers · 1 filter
Mamba-X: An End-to-End Vision Mamba Accelerator for Edge Computing Devices
Dongho Yoon, Gungyu Lee, Jaewon Chang +3
Transformers have proven effective in language modeling but are limited by high computational and memory demands that grow quadratically with input sequence length. State space mod…
PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models
Yunjae Lee, Hyeseong Kim, Minsoo Rhu
Training recommendation systems (RecSys) faces several challenges as it requires the "data preprocessing" stage to preprocess an ample amount of raw data and feed them to the GPU f…
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures
Yunjae Lee, Jinha Chung, Minsoo Rhu
Graph neural networks (GNNs) can extract features by learning both the representation of each objects (i.e., graph nodes) and the relationship across different objects (i.e., the e…
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
Personalized recommendations are one of the most widely deployed machine learning (ML) workload serviced from cloud datacenters. As such, architectural solutions for high-performan…