FCCM MADCAP 2025 Program

FCCM MADCAP 2025 Program

*All times shown in the Arkansas local time, CDT (UTC-6)

Wednesday – May 7

9:00 am – 10:00 amSession – Efficient Domain-Specific In-Memory Computing Accelerators
Chair: Shaahin Angizi, New Jersey Institute of Technology
9:00 amOpening remarks by Shaahin Angizi
9:10 amBreaking New Ground: Division Directly in Memory
Farzad Razi, Mehran Shoushtari Moghadam, M. Hassan Najafi, Sercan Aygun, Marc Riedel
9:35 amPhotonic In-Memory Computing for Analog Neural Network Processing
Mahdi Nikdast
10:00am – 10:30amCoffee break
10:30amBCIM: A Bit-Serial Approach for Block-Cipher-In-Memory
Andrew Dervay, Omar Al Kailani, Wenfeng Zhao
10:50amLLM-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 pmSession: Integrating In-Memory Computing with FPGAs: Challenges and Emerging Opportunities
Chair: Archit Gajjar, Hewlett Packard Enterprise
11:10 amOpening remarks by Archit Gajjar
11:20 amA FeFET-based Compute-in-Memory Architecture on FPGA for Neural Network Inference
Minghan Jiang, Yonggen Li, Rui Xiao, Haibin Shen, Kejie Huang
11:40 amCompute-In-Memory on FPGAs for Deep Learning: A Review
Aman Arora
12:00 pm – 1:00 pmLunch
1:00 pmPanel Discussion
2:00 pmCoffee Break
2:30 pmAnalog 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 pmSession: SMART: Sensor-centric Modular Architectures for Resilient Technology in IoT
Chair: Arman Roohi, University of Illinois Chicago
2:50 PMOpening remarks by Arman Roohi
3:00 PMReconfigurable Retina-Inspired Looming Detection
Jason Sinaga, Shay Snyder, Md Abdullah-Al Kaiser, Dan Jinoy, Gregory Schwartz, Maryam Parsa, Akhilesh Jaiswal
3:20 PMToward 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 PMBreak
3:50 PMiSEW: in-Sensor Embedded Watermarking for Secure Imaging
Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi
4:10 PMTowards Highly Reconfigurable Extreme-Edge Intelligent Processing-in-Pixel
Zihan Yin, Akhilesh Jaiswal
4:30 PMInvited talk: Efficient-coding—inspired in-sensor compression for visual computing
Yuhao Zhu (University of Rochester)
4:50 PMClosing remarks
Adjorn