Schedule and Materials

Welcome 

Presentations from domain experts

• James Hoe: The Case for FPGAs in Input-dependent Irregular Streaming Data Analytics

• Tao Wei: Leveraging FPGA Technology for Accelerating Analog Circuit Design in Power Electronics and Optics 

• Zhiru Zhang: Data-Specialized Reconfigurable Accelerators 

• Philip Leong: Domain-specific FPGAs for High Frequency Machine Learning 

• Chris Lavin: Leveraging Domain-Specific Attributes in FPGA CAD Tooling with RapidWright 

Video link of the presentation session: ISFPGA25 | Domain Specialized FPGAs | Workshop Part 1 

Poster session

• BYOL – Build Your Own Linter - Customized for FPGA PPA metrics, Srinivasan Venkatramanan, AsFigo Technologies

• Deep Learning Optimized FPGA Architecture, Aman Arora, Arizona State University

• A Novel FPGA Simulator Accelerating Reinforcement Learning Based Design of Power Converters, Zhenyu Xu, Clemson University

• FPGA Cluster-Based Accelerators: Advancing Scientific Computing for Inverse Design, Miaoxiang Yu, Clemson University

• Fast ML for Science benchmarks and architectural implications, Ben Hawks, Fermilab

• Stream-HLS: Towards Automatic Dataflow Acceleration, Suhail Basalama, UCLA

• Seamless acceleration of Fortran intrinsics via AMD AI engines, Nick Brown, EPCC

• High-Order Field-Programmable Ising Arrays with In-Memory Computing, Tinish Bhattacharya, UCSB

• eFPGA++: Automate and Accelerate the Development of Domain Specific FPGAs, Xifan Tang (Rapid-Flex)

Panel discussion

• Nhan Tran (Physics)

• Ryan Kastner (Security)

• Gabriel Weisz (ML)

• Suhaib Fahmy (HPC)

• Xifan Tang (CAD)

Video link of the panel discussion: ISFPGA25 | Domain Specialized FPGAs | Workshop Part 2 

Closing