43 citations · 75 across the 12 of their papers we have counts for
12 papers
A 21.3%-Efficiency Clipped-Sinusoid UWB Impulse Radio Transmitter with Simultaneous Inductive Powering and Data Receiving
Nima Soltani, Hamed M. Jafari, Karim Abdelhalim +3
An ultra-wide-band impulse-radio (UWB-IR) transmitter (TX) for low-energy biomedical microsystems is presented. High power efficiency is achieved by modulating an LC tank that alwa…
On-CMOS High-Throughput Multi-Modal Amperometric DNA Analysis with Distributed Thermal Regulation
Hamed M. Jafari, Xilin Liu, Roman Genov
Accurate temperature regulation is critical for amperometric DNA analysis to achieve high fidelity, reliability, and throughput. In this work, a 9x6 cell array of mixed-signal CMOS…
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks
Chenqi Li, Corey Lammie, Xuening Dong +3
During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly. However, despite significant performance improvements, their hardware imple…
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation
Tim Zhang, Corey Lammie, Mostafa Rahimi Azghadi +3
Spike sorting algorithms are used to separate extracellular recordings of neuronal populations into single-unit spike activities. The development of customized hardware implementin…
PRUNIX: Non-Ideality Aware Convolutional Neural Network Pruning for Memristive Accelerators
Ali Alshaarawy, Amirali Amirsoleimani, Roman Genov
In this work, PRUNIX, a framework for training and pruning convolutional neural networks is proposed for deployment on memristor crossbar based accelerators. PRUNIX takes into acco…
SDEX: Monte Carlo Simulation of Stochastic Differential Equations on Memristor Crossbars
Louis Primeau, Amirali Amirsoleimani, Roman Genov
Here we present stochastic differential equations (SDEs) on a memristor crossbar, where the source of gaussian noise is derived from the random conductance due to ion drift in the…
HYPERLOCK: In-Memory Hyperdimensional Encryption in Memristor Crossbar Array
Jack Cai, Amirali Amirsoleimani, Roman Genov
We present a novel cryptography architecture based on memristor crossbar array, binary hypervectors, and neural network. Utilizing the stochastic and unclonable nature of memristor…
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures
Corey Lammie, Jason K. Eshraghian, Chenqi Li +4
The impact of device and circuit-level effects in mixed-signal Resistive Random Access Memory (RRAM) accelerators typically manifest as performance degradation of Deep Learning (DL…
Node-Centric Graph Learning from Data for Brain State Identification
Nafiseh Ghoroghchian, David M. Groppe, Roman Genov +2
Data-driven graph learning models a network by determining the strength of connections between its nodes. The data refers to a graph signal which associates a value with each graph…
A Hierarchical Graph Signal Processing Approach to Inference from Spatiotemporal Signals
Nafiseh Ghoroghchian, Stark C. Draper, Roman Genov
Motivated by the emerging area of graph signal processing (GSP), we introduce a novel method to draw inference from spatiotemporal signals. Data acquisition in different locations…
AIDX: Adaptive Inference Scheme to Mitigate State-Drift in Memristive VMM Accelerators
Tony Liu, Amirali Amirsoleimani, Fabien Alibart +3
An adaptive inference method for crossbar (AIDX) is presented based on an optimization scheme for adjusting the duration and amplitude of input voltage pulses. AIDX minimizes the l…
Bit-pragmatic Deep Neural Network Computing
J. Albericio, P. Judd, A. Delmás +2
We quantify a source of ineffectual computations when processing the multiplications of the convolutional layers in Deep Neural Networks (DNNs) and propose Pragmatic (PRA), an arch…