Mehrdad Morsali

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Local Binary Pattern

Top Venues

Circuits Syst. Signal Process.

Publications

Mahmoud Nazzal, Deepak Vungarala, Mehrdad Morsali, Chao Zhang, Arnob Ghosh, Abdallah Khreishah, Shaahin Angizi
A Dataset for Large Language Model-Driven AI Accelerator Generation. CoRR (2024)
Arman Roohi, Sepehr Tabrizchi, Mehrdad Morsali, David Z. Pan, Shaahin Angizi
PiPSim: A Behavior-Level Modeling Tool for CNN Processing-in-Pixel Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (1) (2024)
Shaahin Angizi, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi
A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks. IEEE Trans. Emerg. Top. Comput. 12 (1) (2024)
Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi
Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. CoRR (2024)
Mehrdad Morsali, Sepehr Tabrizchi, Deniz Najafi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Shaahin Angizi
OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. DATE (2024)
Mehrdad Morsali, Mahmoud Nazzal, Abdallah Khreishah, Shaahin Angizi
IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge. ACM Great Lakes Symposium on VLSI (2023)
Sepehr Tabrizchi, Mehrdad Morsali, Shaahin Angizi, Arman Roohi
NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors. ISCAS (2023)
Deepak Vungarala, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi, Shaahin Angizi
Comparative Study of Low Bit-width DNN Accelerators: Opportunities and Challenges. MWSCAS (2023)
Deniz Najafi, Mehrdad Morsali, Ranyang Zhou, Arman Roohi, Andrew Marshall, Durga Misra, Shaahin Angizi
Enabling Normally-off In-Situ Computing with a Magneto-Electric FET-based SRAM Design. CoRR (2023)
Mehrdad Morsali, Mahmoud Nazzal, Abdallah Khreishah, Shaahin Angizi
IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge. CoRR (2023)
Ranyang Zhou, Sepehr Tabrizchi, Mehrdad Morsali, Arman Roohi, Shaahin Angizi
P-PIM: A Parallel Processing-in-DRAM Framework Enabling Row Hammer Protection. DATE (2023)
Mehrdad Morsali, Sepehr Tabrizchi, Deniz Najafi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Shaahin Angizi
OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. CoRR (2023)
Mehrdad Morsali, Ranyang Zhou, Sepehr Tabrizchi, Arman Roohi, Shaahin Angizi
XOR-CiM: An Efficient Computing-in-SOT-MRAM Design for Binary Neural Network Acceleration. ISQED (2023)
Mehrdad Morsali, Sepehr Tabrizchi, Maximilian Liehr, Nathaniel C. Cady, Mohsen Imani, Arman Roohi, Shaahin Angizi
Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator. ICRC (2023)
Shaahin Angizi, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi
A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks. CoRR (2022)
Mehrdad Morsali, Mohammad Hossein Moaiyeri, Ramin Rajaei
A process variation resilient spintronic true random number generator for highly reliable hardware security applications. Microelectron. J. 129 (2022)
Mehrdad Morsali, Mohammad Hossein Moaiyeri
Ultra-High-Performance Magnetic Nonvolatile Level Converter Flip-Flop with Spin-Hall Assistance for Dual-Supply Systems with Power Gating Architecture. Circuits Syst. Signal Process. 40 (3) (2021)
Mehrdad Morsali, Mohammad Hossein Moaiyeri
NVLCFF: An Energy-Efficient Magnetic Nonvolatile Level Converter Flip-Flop for Ultra-Low-Power Design. Circuits Syst. Signal Process. 39 (6) (2020)