3 papers
cs.AR2025
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…
cs.DC2025
Debunking the CUDA Myth Towards GPU-based AI Systems
Yunjae Lee, Juntaek Lim, Jehyeon Bang +10
This paper presents a comprehensive evaluation of Intel Gaudi NPUs as an alternative to NVIDIA GPUs, which is currently the de facto standard in AI system design. First, we create…
cs.AR2024
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…