29 citations · 51 across the 20 of their papers we have counts for
22 papers
Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparameters on Hardware
Ilkin Aliyev, Jesus Lopez, Tosiron Adegbija
Spiking Neural Networks (SNNs) offer inherent advantages for low-power inference through sparse, event-driven computation. However, the theoretical energy benefits of SNNs are ofte…
Device-Circuit Co-Design of Variation-Resilient Read and Write Drivers for Antiferromagnetic Tunnel Junction (AFMTJ) Memories
Yousuf Choudhary, Tosiron Adegbija
Antiferromagnetic Tunnel Junctions (AFMTJs) offer picosecond switching and high integration density for in-memory computing, but their ultrafast dynamics and low tunnel magnetoresi…
Accelerating Post-Quantum Cryptography via LLM-Driven Hardware-Software Co-Design
Yuchao Liao, Tosiron Adegbija, Roman Lysecky
Post-quantum cryptography (PQC) is crucial for securing data against emerging quantum threats. However, its algorithms are computationally complex and difficult to implement effici…
Antiferromagnetic Tunnel Junctions (AFMTJs) for In-Memory Computing: Modeling and Case Study
Yousuf Choudhary, Tosiron Adegbija
Antiferromagnetic Tunnel Junctions (AFMTJs) enable picosecond switching and femtojoule writes through ultrafast sublattice dynamics. We present the first end-to-end AFMTJ simulatio…
Spiking Neural Network Architecture Search: A Survey
Kama Svoboda, Tosiron Adegbija
This survey paper presents a comprehensive examination of Spiking Neural Network (SNN) architecture search (SNNaS) from a unique hardware/software co-design perspective. SNNs, insp…
Exploring the Sparsity-Quantization Interplay on a Novel Hybrid SNN Event-Driven Architecture
Ilkin Aliyev, Jesus Lopez, Tosiron Adegbija
Spiking Neural Networks (SNNs) offer potential advantages in energy efficiency but currently trail Artificial Neural Networks (ANNs) in versatility, largely due to challenges in ef…