Mohammed E. Elbtity

According to our database, Mohammed E. Elbtity authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Work in Progress: Real-time Transformer Inference on Edge AI Accelerators.

Brendan Reidy, Mohammadreza Mohammadi, Mohammed E. Elbtity, Heath Smith, Ramtin Zand

Proceedings of the 29th IEEE Real-Time and Embedded Technology and Applications Symposium, 2023

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

Mohammed E. Elbtity, Brendan Reidy, Md Hasibul Amin, Ramtin Zand

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

IMAC-Sim: : A Circuit-level Simulator For In-Memory Analog Computing Architectures.

Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

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

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

Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures.

Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand

CoRR, 2022

A Python Framework for SPICE Circuit Simulation of In-Memory Analog Computing Circuits.

Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand

CoRR, 2022

Interconnect Parasitics and Partitioning in Fully-Analog In-Memory Computing Architectures.

Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

MRAM-based Analog Sigmoid Function for In-memory Computing.

Md Hasibul Amin, Mohammed E. Elbtity, Mohammadreza Mohammadi, Ramtin Zand

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

2021

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

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021

2020

High Speed, Approximate Arithmetic Based Convolutional Neural Network Accelerator.

Mohammed E. Elbtity, Hyun-Wook Son, Dong-Yeong Lee, HyungWon Kim

Proceedings of the International SoC Design Conference, 2020

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

Small Area and Low Power Hybrid CMOS-Memristor Based FIFO for NoC.

Mohammed E. Elbtity, Ahmed G. Radwan

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018