3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2025
GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units
Arghadip Das, Shamik Kundu, Arnab Raha +3
Graph Neural Networks (GNNs) are vital for learning from graph-structured data, enabling applications in network analysis, recommendation systems, and speech analytics. Deploying t…
cs.LG2024
Enhancing Functional Safety in Automotive AMS Circuits through Unsupervised Machine Learning
Ayush Arunachalam, Ian Kintz, Suvadeep Banerjee +7
Given the widespread use of safety-critical applications in the automotive field, it is crucial to ensure the Functional Safety (FuSa) of circuits and components within automotive…
cs.AR2023★ 3 cited
VPU-EM: An Event-based Modeling Framework to Evaluate NPU Performance and Power Efficiency at Scale
Charles Qi, Yi Wang, Hui Wang +18
State-of-art NPUs are typically architected as a self-contained sub-system with multiple heterogeneous hardware computing modules, and a dataflow-driven programming model. There la…