FCCM MADCAP 2025 Program
*All times shown in the EST (UTC-5)
Wednesday – May 7
9:00 am – 10:00 am |
Session – Efficient Domain-Specific In-Memory Computing Accelerators Chair: Shaahin Angizi, New Jersey Institute of Technology |
9:00 am | Opening remarks by Shaahin Angizi |
9:10 am |
Breaking New Ground: Division Directly in Memory Farzad Razi, Mehran Shoushtari Moghadam, M. Hassan Najafi, Sercan Aygun, Marc Riedel |
9:35 am |
Photonic In-Memory Computing for Analog Neural Network Processing Mahdi Nikdast |
10:00am – 10:30am | Coffee break |
10:30am |
BCIM: A Bit-Serial Approach for Block-Cipher-In-Memory Andrew Dervay, Omar Al Kailani, Wenfeng Zhao |
10:50am |
LLM-IMC: Automating Analog In-Memory Computing Architecture Generation with Large Language Models Deepak Vungarala, Md Hasibul Amin, Pietro Mercati, Arman Roohi, Ramtin Zand, Shaahin Angizi |
11:00 am – 12:00 pm |
Session: Integrating In-Memory Computing with FPGAs: Challenges and Emerging Opportunities Chair: Archit Gajjar, Hewlett Packard Enterprise |
Opening remarks by Archit Gajjar | |
A FeFET-based Compute-in-Memory Architecture on FPGA for Neural Network Inference Minghan Jiang, Yonggen Li, Rui Xiao, Haibin Shen, Kejie Huang |
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Compute-In-Memory on FPGAs for Deep Learning: A Review Aman Arora |
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12:00 pm – 1:00 pm | Lunch |
1:00 pm | Panel Discussion |
2:00 pm | Coffee Break |
2:30 pm |
Analog In-memory Computing Enhanced FPGA for High-Throughput and Energy-Efficient Acceleration Archit Gajjar, Lei Zhao, Omar Eldash, Aishwarya Natarajan, Xia Sheng, Giacomo Pedretti, Paolo Faraboschi, Jim Ignowski, Aman Arora, Luca Buonanno |
2:50 pm – 4:40 pm |
Session: SMART: Sensor-centric Modular Architectures for Resilient Technology in IoT Chair: Arman Roohi, University of Illinois Chicago |
2:50 PM | Opening remarks by Arman Roohi |
3:00 PM |
Reconfigurable Retina-Inspired Looming Detection Jason Sinaga, Shay Snyder, Md Abdullah-Al Kaiser, Dan Jinoy, Gregory Schwartz, Maryam Parsa, Akhilesh Jaiswal |
3:20 PM |
Toward Reconfigurable In-Pixel Computing: A Fault-Tolerant Design Flow for Machine Learning Accelerators Houxuan Guo, Manuel Blanco Valentin, Xiuyuan He, Seda Ogrenci Memik |
3:40 PM | Break |
3:50 PM |
iSEW: in-Sensor Embedded Watermarking for Secure Imaging Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi |
4:10 PM |
Towards Highly Reconfigurable Extreme-Edge Intelligent Processing-in-Pixel Zihan Yin, Akhilesh Jaiswal |
4:30 PM |
Invited talk: Efficient-codingโinspired in-sensor compression for visual computing Yuhao Zhu (University of Rochester) |
4:50 PM | Closing remarks |
Adjorn |