activity
20192026
most citedDeep-PowerX: A Deep Learning-Based Framework for Low-Power Approximate Logic Synthesis

17 citations · 52 across the 50 of their papers we have counts for

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Showing cs.ETShow all

7 papers · 1 filter

cs.ET2026

RIVERPlace: Repairing Interconnect Violations with Efficient Retiming and Incremental Placement for AQFP Circuits

Robert S. Aviles, Ziyu Liu, Sasan Razmkhah +2

The Adiabatic Quantum-Flux-Parametron (AQFP) offers near-Landauer-limit energy efficiency but faces significant scalability challenges due to strict path balancing and limited driv…

cs.ET2026

Sense Less, Infer More: Agentic Multimodal Transformers for Edge Medical Intelligence

Chengwei Zhou, Zhaoyan Jia, Haotian Yu +6

Edge-based multimodal medical monitoring requires models that balance diagnostic accuracy with severe energy constraints. Continuous acquisition of ECG, PPG, EMG, and IMU streams r…

cs.ET2026

qPRO-AQFP: Post-Routing Optimization of AQFP Circuits with Delay Line Clocking

Robert S. Aviles, Ziyu Liu, Jingkai Hong +3

Adiabatic Quantum-Flux-Parametron (AQFP) logic is an ultra-low-power superconducting logic family with energy consumption approaching the Shannon limit, making it attractive for qu…

cs.ET2025

SuperSNN: A Hardware-Aware Framework for Physically Realizable, High-Performance Superconducting Spiking Neural Network Chips

Changxu Song, Arda Caliskan, Beyza Zeynep Ucpinar +5

Despite numerous proposed designs for superconducting neural networks (SNNs), most have overlooked practical fabrication constraints, leading to implementations limited to only a f…

cs.ET2023

Unsupervised SFQ-Based Spiking Neural Network

Mustafa Altay Karamuftuoglu, Beyza Zeynep Ucpinar, Sasan Razmkhah +2

Single Flux Quantum (SFQ) technology represents a groundbreaking advancement in computational efficiency and ultra-high-speed neuromorphic processing. The key features of SFQ techn…

cs.ET2020

HIPE-MAGIC: A Technology-Aware Synthesis and Mapping Flow for HIghly Parallel Execution of Memristor-Aided LoGIC

Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram

Recent efforts for finding novel computing paradigms that meet today's design requirements have given rise to a new trend of processing-in-memory relying on non-volatile memories.…