FCCM 2026 Demo Night Program

The FCCM 2026 Demo Night is a show-and-tell event, held on Thursday, May 14th. All conference attendees are invited to the Demo Night to mingle and share knowledge in an informal setting. Demonstrations may include system designs, platforms, tools, and more. 

The Demo Night is a great opportunity for representatives of the most prominent industries in the field to meet with the leading FCCM researchers, which might include prospective customers or potential future employees. This event is also an excellent occasion for academic researchers to increase their visibility, demonstrate their latest work, show how to use open-source software or building blocks, and receive early feedback on their work in progress.  

Demo Night Program
6:30 PM – 8:30 PM
Georgia Tech Global Learning Center

TitleAuthors
Mango BoostX SmartNIC with Dataplane StudioJames C. Hoe (MangoBoost)
Towards μs-Scale DNN Inference on Versal ACAPShixin Ji (Brown University)
FILCO: Flexible Composing Architecture with Real-Time Reconfigurability on Versal PlatformXingzhen Chen (Brown University)
ETNA in Orbit: Live Adaptive Image Registration on FPGAClaudio Di Salvo (Politecnico di Milano)
SpeakHDL: A Runtime-Governed Natural-Language FPGA Workflow in Native VHDLClarence Weston (SpeakHDL)
Reconfigurable Computing Challenge: Real-Time Graph Neural Networks for Online Event Selection in Big ScienceMarc Neu (Karlsruhe Institute of Technology)
Reconfigurable Computing Challenge: RapidScan – High-Throughput Parameterized HLS-based Streaming String Matching Library for FPGAsShashank Obla (Carnegie Mellon University)
Reconfigurable Computing Challenge: Transformer for Jet Tagging on Versal AI EnginesGram Koski (University of California San Diego)
Reconfigurable Computing Challenge: A High-Throughput FPGA Accelerator for Real-Time Sort-Free 3D Gaussian SplattingGuan-Wei Lai, Yi-Chen Hu, Chia-Yu Kuo, Wei-ChienCheng (National Yang Ming Chiao Tung University)
MOSIS 2.0 Accelerated Prototyping Platform DemonstrationMatthew French (University of South California)
Reconfigurable Computing Challenge: FPGA-Gym-v2: FPGA-Based RL Environment Acceleration with LLM-Assisted OnboardingHongxiao Zhao (Peking University)
Reconfigurable Computing Challenge: Deploying SmolVLA Model on an AMD XDNA NPUXiaoyu Liang (Cornell University)
Reconfigurable Computing Challenge: FPGA-Based WebAssembly Stack Co-ProcessorQiuping Wu (Peking University)
Xilinx KR260 Flight Controller Drone with FINN ML computer visionWade Fortney (University of Florida)