45 citations · 166 across the 41 of their papers we have counts for
12 papers · 1 filter
CrossNAS: A Cross-Layer Neural Architecture Search Framework for PIM Systems
Md Hasibul Amin, Mohammadreza Mohammadi, Jason D. Bakos +1
In this paper, we propose the CrossNAS framework, an automated approach for exploring a vast, multidimensional search space that spans various design abstraction layers-circuits, a…
XbarSim: A Decomposition-Based Memristive Crossbar Simulator
Anzhelika Kolinko, Md Hasibul Amin, Ramtin Zand +1
Given the growing focus on memristive crossbar-based in-memory computing (IMC) architectures as a potential alternative to current energy-hungry machine learning hardware, the avai…
IMAC-Sim: A Circuit-level Simulator For In-Memory Analog Computing Architectures
Md Hasibul Amin, Mohammed E. 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 machine learning applicati…
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…
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…
SOT-MRAM based Sigmoidal Neuron for Neuromorphic Architectures
Brendan Reidy, Ramtin Zand
In this paper, the intrinsic physical characteristics of spin-orbit torque (SOT) magnetoresistive random-access memory (MRAM) devices are leveraged to realize sigmoidal neurons in…
Electrically-Tunable Stochasticity for Spin-based Neuromorphic Circuits: Self-Adjusting to Variation
Hossein Pourmeidani, Punyashloka Debashis, Zhihong Chen +2
Energy-efficient methods are addressed for leveraging low energy barrier nanomagnetic devices within neuromorphic architectures. Using a Magnetoresistive Random Access Memory (MRAM…
Clockless Spin-based Look-Up Tables with Wide Read Margin
Soheil Salehi, Ramtin Zand, Ronald F. DeMara
In this paper, we develop a 6-input fracturable non-volatile Clockless LUT (C-LUT) using spin Hall effect (SHE)-based Magnetic Tunnel Junctions (MTJs) and provide a detailed compar…
AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Sparse Signals
Soheil Salehi, Ramtin Zand, Alireza Zaeemzadeh +2
Recently, the promising aspects of compressive sensing have inspired new circuit-level approaches for their efficient realization within the literature. However, most of these rece…
SNRA: A Spintronic Neuromorphic Reconfigurable Array for In-Circuit Training and Evaluation of Deep Belief Networks
Ramtin Zand, Ronald F. DeMara
In this paper, a spintronic neuromorphic reconfigurable Array (SNRA) is developed to fuse together power-efficient probabilistic and in-field programmable deterministic computing d…
Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons
Ramtin Zand, Kerem Y. Camsari, Supriyo Datta +1
Magnetoresistive random access memory (MRAM) technologies with thermally unstable nanomagnets are leveraged to develop an intrinsic stochastic neuron as a building block for restri…
Low-Energy Deep Belief Networks using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons
Ramtin Zand, Kerem Yunus Camsari, Steven D. Pyle +3
A low-energy hardware implementation of deep belief network (DBN) architecture is developed using near-zero energy barrier probabilistic spin logic devices (p-bits), which are mode…