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20212023
most citedMRAM-based Analog Sigmoid Function for In-memory Computing

14 citations · 34 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AR2023

Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units

Mohammed E. Elbtity, Brendan Reidy, Md Hasibul Amin +1

Tensor processing units (TPUs), specialized hardware accelerators for machine learning tasks, have shown significant performance improvements when executing convolutional layers in…

cs.ET2023★ 6 cited

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…

cs.LG2022

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…

cs.AR2022

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…

cs.ET2022★ 14 cited

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…

cs.AR2022★ 13 cited

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…

cs.AR2021★ 1 cited

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…