43 citations · 43 across the 4 of their papers we have counts for
4 papers
A New Dataflow Implementation to Improve Energy Efficiency of Monolithic 3D Systolic Arrays
Prachi Shukla, Vasilis F. Pavlidis, Emre Salman +1
Systolic arrays are popular for executing deep neural networks (DNNs) at the edge. Low latency and energy efficiency are key requirements in edge devices such as drones and autonom…
MORCIC: Model Order Reduction Techniques for Electromagnetic Models of Integrated Circuits
Dimitrios Garyfallou, Athanasios Stefanou, Christos Giamouzis +14
Model order reduction (MOR) is crucial for the design process of integrated circuits. Specifically, the vast amount of passive RLCk elements in electromagnetic models extracted fro…
Temperature-Aware Monolithic 3D DNN Accelerators for Biomedical Applications
Prachi Shukla, Vasilis F. Pavlidis, Emre Salman +1
In this paper, we focus on temperature-aware Monolithic 3D (Mono3D) deep neural network (DNN) inference accelerators for biomedical applications. We develop an optimizer that tunes…
A Nanoscale Room-Temperature Multilayer Skyrmionic Synapse for Deep Spiking Neural Networks
Runze Chen, Chen Li, Yu Li +5
Magnetic skyrmions have attracted considerable interest, especially after their recent experimental demonstration at room temperature in multilayers. The robustness, nanoscale size…