43 citations · 60 across the 6 of their papers we have counts for
6 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…
Encoding and multiplexing information signals in magnetic multilayers with fractional skyrmion tubes
Runze Chen, Yu Li, William Griggs +3
Tailored magnetic multilayers (MMLs) provide skyrmions with enhanced thermal stability, leading to the possibility of skyrmion-based devices for room temperature applications. At t…
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…
Voltage-Controlled Skyrmionic Interconnect with Multiple Magnetic Information Carriers
Runze Chen, Yu Li, Vasilis F. Pavlidis +1
Magnetic skyrmions have been in the spotlight since their observation in technologically relevant systems at room temperature. More recently, there has been increasing interest in…
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…