3 papers
cs.AR2026
From Characterization to Microarchitecture: Designing an Elegant and Reliable BFP-Based NPU
Jie Zhang, Jiapeng Guan, Hao Zhou +4
Block Floating-Point (BFP) is emerging as an attractive data format for edge Neural Processing Units (NPUs), combining wide dynamic range with high hardware efficiency. However, it…
cs.AR2026
Strix: Re-thinking NPU Reliability from a System Perspective
Jiapeng Guan, Jie Zhang, Hao Zhou +8
DNNs and LLMs increasingly rely on hardware accelerators, including in safety-critical domains, while technology scaling and growing model complexity make hardware faults more freq…
cs.CV2026
R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII
Zewei Zhou, Jiajun Zou, Jiajia Zhang +8
Graph neural networks (GNNs) are increasingly applied to physical design tasks such as congestion prediction and wirelength estimation, yet progress is hindered by inconsistent cir…