Small Area and Low Power Hybrid CMOS-Memristor Based FIFO for NoC. - Mohammed E. Elbtity; Ahmed G. Radwan (ISCAS, 2018)

Design and analysis of 2T2M hybrid CMOS-Memristor based RRAM. - Noha Shaarawy; Ahmed A. M. Emara; Ahmed M. El-Naggar; Mohammed E. Elbtity; Maged Ghoneima; Ahmed G. Radwan (Microelectron. J., 2018)

High Speed, Approximate Arithmetic Based Convolutional Neural Network Accelerator. - Mohammed E. Elbtity; Hyun-Wook Son; Dong-Yeong Lee; HyungWon Kim 001 (ISOCC, 2020)

An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices. - Mohammed E. Elbtity; Abhishek Singh; Brendan Reidy; Xiaochen Guo; Ramtin Zand (ISVLSI, 2021)

MRAM-based Analog Sigmoid Function for In-memory Computing. - Md Hasibul Amin; Mohammed E. Elbtity; Mohammadreza Mohammadi; Ramtin Zand (ACM Great Lakes Symposium on VLSI, 2022)

Interconnect Parasitics and Partitioning in Fully-Analog In-Memory Computing Architectures. - Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (ISCAS, 2022)

A Python Framework for SPICE Circuit Simulation of In-Memory Analog Computing Circuits. - Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (CoRR, 2022)

Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures. - Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (CoRR, 2022)

Xbar-Partitioning: A Practical Way for Parasitics and Noise Tolerance in Analog IMC Circuits. - Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (IEEE J. Emerg. Sel. Topics Circuits Syst., 2022)

APTPU: Approximate Computing Based Tensor Processing Unit. - Mohammed E. Elbtity; Peyton Chandarana; Brendan Reidy; Jason Kamran Eshraghian; Ramtin Zand (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

IMAC-Sim: : A Circuit-level Simulator For In-Memory Analog Computing Architectures. - Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (ACM Great Lakes Symposium on VLSI, 2023)

Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units. - Mohammed E. Elbtity; Brendan Reidy; Md Hasibul Amin; Ramtin Zand (ACM Great Lakes Symposium on VLSI, 2023)

Work in Progress: Real-time Transformer Inference on Edge AI Accelerators. - Brendan Reidy; Mohammadreza Mohammadi; Mohammed E. Elbtity; Heath Smith; Ramtin Zand (RTAS, 2023)

Flex-TPU: A Flexible TPU with Runtime Reconfigurable Dataflow Architecture. - Mohammed E. Elbtity; Peyton Chandarana; Ramtin Zand (CoRR, 2024)

Matmul or No Matmul in the Era of 1-bit LLMs. - Jinendra Malekar; Mohammed E. Elbtity; Ramtin Zand (CoRR, 2024)

Learnable Sparsification of Die-to-Die Communication via Spike-Based Encoding. - Joshua Nardone; Ruijie Zhu 003; Joseph Callenes; Mohammed E. Elbtity; Ramtin Zand; Jason Eshraghian (CoRR, 2025)

TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generator. - Deepak Vungarala; Mohammed E. Elbtity; Sumiya Syed; Sakila Alam; Kartik Pandit; Arnob Ghosh; Ramtin Zand; Shaahin Angizi (CoRR, 2025)

PIM-LLM: A High-Throughput Hybrid PIM Architecture for 1-bit LLMs. - Jinendra Malekar; Peyton Chandarana; Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (CoRR, 2025)