Mehrdad Morsali

According to our database, Mehrdad Morsali authored at least 16 papers between 2020 and 2024.

Collaborative distances:

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

2024

PiPSim: A Behavior-Level Modeling Tool for CNN Processing-in-Pixel Accelerators.

Arman Roohi, Sepehr Tabrizchi, Mehrdad Morsali, David Z. Pan, Shaahin Angizi

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024

A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks.

Shaahin Angizi, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi

IEEE Trans. Emerg. Top. Comput., 2024

A Dataset for Large Language Model-Driven AI Accelerator Generation.

Mahmoud Nazzal, Deepak Vungarala, Mehrdad Morsali, Chao Zhang, Arnob Ghosh, Abdallah Khreishah, Shaahin Angizi

CoRR, 2024

Energy-Efficient Near-Sensor Event Detector Based on Multilevel Ga2O3 RRAM.

Mehrdad Morsali, Sepehr Tabrizchi, Ravi Teja Velpula, Mano Bala Sankar Muthu, Hieu Pham Trung Nguyen, Mohsen Imani, Arman Roohi, Shaahin Angizi

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing.

Mehrdad Morsali, Sepehr Tabrizchi, Deniz Najafi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Shaahin Angizi

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing.

Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Enabling Normally-off In-Situ Computing with a Magneto-Electric FET-based SRAM Design.

Deniz Najafi, Mehrdad Morsali, Ranyang Zhou, Arman Roohi, Andrew Marshall, Durga Misra, Shaahin Angizi

CoRR, 2023

Comparative Study of Low Bit-width DNN Accelerators: Opportunities and Challenges.

Deepak Vungarala, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi, Shaahin Angizi

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

XOR-CiM: An Efficient Computing-in-SOT-MRAM Design for Binary Neural Network Acceleration.

Mehrdad Morsali, Ranyang Zhou, Sepehr Tabrizchi, Arman Roohi, Shaahin Angizi

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors.

Sepehr Tabrizchi, Mehrdad Morsali, Shaahin Angizi, Arman Roohi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator.

Mehrdad Morsali, Sepehr Tabrizchi, Maximilian Liehr, Nathaniel C. Cady, Mohsen Imani, Arman Roohi, Shaahin Angizi

Proceedings of the IEEE International Conference on Rebooting Computing, 2023

IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge.

Mehrdad Morsali, Mahmoud Nazzal, Abdallah Khreishah, Shaahin Angizi

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

P-PIM: A Parallel Processing-in-DRAM Framework Enabling Row Hammer Protection.

Ranyang Zhou, Sepehr Tabrizchi, Mehrdad Morsali, Arman Roohi, Shaahin Angizi

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

A process variation resilient spintronic true random number generator for highly reliable hardware security applications.

Mehrdad Morsali, Mohammad Hossein Moaiyeri, Ramin Rajaei

Microelectron. J., 2022

2021

Ultra-High-Performance Magnetic Nonvolatile Level Converter Flip-Flop with Spin-Hall Assistance for Dual-Supply Systems with Power Gating Architecture.

Mehrdad Morsali, Mohammad Hossein Moaiyeri

Circuits Syst. Signal Process., 2021

2020

NVLCFF: An Energy-Efficient Magnetic Nonvolatile Level Converter Flip-Flop for Ultra-Low-Power Design.

Mehrdad Morsali, Mohammad Hossein Moaiyeri

Circuits Syst. Signal Process., 2020