14 citations · 35 across the 10 of their papers we have counts for
10 papers
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…
PIM-LLM: A High-Throughput Hybrid PIM Architecture for 1-bit LLMs
Jinendra Malekar, Peyton Chandarana, Md Hasibul Amin +2
In this paper, we propose PIM-LLM, a hybrid architecture developed to accelerate 1-bit large language models (LLMs). PIM-LLM leverages analog processing-in-memory (PIM) architectur…
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…
Multi-Objective Neural Architecture Search for In-Memory Computing
Md Hasibul Amin, Mohammadreza Mohammadi, Ramtin Zand
In this work, we employ neural architecture search (NAS) to enhance the efficiency of deploying diverse machine learning (ML) tasks on in-memory computing (IMC) architectures. Init…
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…
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…
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…
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…