23 citations · 81 across the 39 of their papers we have counts for
6 papers · 1 filter
Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware
Peyton Chandarana, Mohammadreza Mohammadi, James Seekings +1
As the technology industry is moving towards implementing tasks such as natural language processing, path planning, image classification, and more on smaller edge computing devices…
Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures
Md Hasibul Amin, Mohammed Elbtity, Ramtin Zand
Conventional in-memory computing (IMC) architectures consist of analog memristive crossbars to accelerate matrix-vector multiplication (MVM), and digital functional units to realiz…
A Python Framework for SPICE Circuit Simulation of In-Memory Analog Computing Circuits
Md Hasibul Amin, Mohammed Elbtity, Ramtin Zand
With the increased attention to memristive-based in-memory analog computing (IMAC) architectures as an alternative for energy-hungry computer systems for data-intensive application…
Static Hand Gesture Recognition for American Sign Language using Neuromorphic Hardware
MohammadReza Mohammadi, Peyton Chandarana, James Seekings +2
In this paper, we develop four spiking neural network (SNN) models for two static American Sign Language (ASL) hand gesture classification tasks, i.e., the ASL Alphabet and ASL Dig…
MRAM-based Analog Sigmoid Function for In-memory Computing
Md Hasibul Amin, Mohammed Elbtity, Mohammadreza Mohammadi +1
We propose an analog implementation of the transcendental activation function leveraging two spin-orbit torque magnetoresistive random-access memory (SOT-MRAM) devices and a CMOS i…
Interconnect Parasitics and Partitioning in Fully-Analog In-Memory Computing Architectures
Md Hasibul Amin, Mohammed Elbtity, Ramtin Zand
Fully-analog in-memory computing (IMC) architectures that implement both matrix-vector multiplication and non-linear vector operations within the same memory array have shown promi…