1 citations · 1 across the 13 of their papers we have counts for
14 papers
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…
An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks
Peyton Chandarana, Junlin Ou, Ramtin Zand
Current state-of-the-art methods of image classification using convolutional neural networks are often constrained by both latency and power consumption. This places a limit on the…
An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices
Mohammed Elbtity, Abhishek Singh, Brendan Reidy +2
In this paper, we develop an in-memory analog computing (IMAC) architecture realizing both synaptic behavior and activation functions within non-volatile memory arrays. Spin-orbit…
A Single-Cycle MLP Classifier Using Analog MRAM-based Neurons and Synapses
Ramtin Zand
In this paper, spin-orbit torque (SOT) magnetoresistive random-access memory (MRAM) devices are leveraged to realize sigmoidal neurons and binarized synapses for a single-cycle ana…