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Mehrdad Morsali
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2020 – today
- 2024
- [j5]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): 141-150 (2024) - [j4]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): 73-83 (2024) - [c7]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: 1-6 - [i6]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 abs/2403.05037 (2024) - [i5]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 abs/2404.10875 (2024) - 2023
- [c6]Ranyang Zhou, Sepehr Tabrizchi, Mehrdad Morsali, Arman Roohi, Shaahin Angizi:
P-PIM: A Parallel Processing-in-DRAM Framework Enabling Row Hammer Protection. DATE 2023: 1-6 - [c5]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: 3-8 - [c4]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: 1-5 - [c3]Sepehr Tabrizchi, Mehrdad Morsali, Shaahin Angizi, Arman Roohi:
NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors. ISCAS 2023: 1-4 - [c2]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: 1-5 - [c1]Deepak Vungarala, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi, Shaahin Angizi:
Comparative Study of Low Bit-width DNN Accelerators: Opportunities and Challenges. MWSCAS 2023: 797-800 - [i4]Mehrdad Morsali, Mahmoud Nazzal, Abdallah Khreishah, Shaahin Angizi:
IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge. CoRR abs/2303.14162 (2023) - [i3]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 abs/2311.18655 (2023) - [i2]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 abs/2312.05212 (2023) - 2022
- [j3]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: 105606 (2022) - [i1]Shaahin Angizi, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi:
A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks. CoRR abs/2210.06698 (2022) - 2021
- [j2]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): 1383-1396 (2021) - 2020
- [j1]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): 2841-2859 (2020)
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last updated on 2024-08-05 20:15 CEST by the dblp team
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