Posters List 2026

Poster Session 1

TitleAuthors
HESP-Stream: A Sensor-Direct, Instruction-Driven FPGA System for Real-Time Sparse Event ProcessingJihui Qi, Yongjiang Xue, Qingzeng Song (Tiangong University)
AutoINV: Automated Invariant Generation Framework for Formal Verification on High-Level Synthesis DesignsXiaofeng Zhou, Linfeng Du, Guangyu Hu (The Hong Kong University of Science and Technology); Sharad Sinha (Indian Institute of Technology Goa); Hongce Zhang, Jiang Xu (The Hong Kong University of Science and Technology (Guangzhou)); Wei Zhang (The Hong Kong University of Science and Technology)
LiveGraph: High-Performance On-FPGA Dynamic Graph Updating FrameworkYufeng Luo, Peikun Hong, Jing Wang (Shanghai Jiao Tong University); Feiyang Wu (Peking University); Chao Li, Minyi Guo (Shanghai Jiao Tong University)
Accelerating Topology Optimization on AMD Versal AIE-ML EnginesKaustubh Manohar Mhatre, Vedant Tewari, Aditya Ray (Arizona State University); Farhan Khan (Technical University of Munich); Ridwan Olabiyi, Ashif Iquebal, Aman Arora (Arizona State University)
SIFT: LLM-Assisted Assertion Generation for On-Chip Protocol ImplementationsMelisande Zonta-Roudes, Nora Hinderling, Supraja Sridhara (ETH Zurich); Srinidhi Nagendra (Max Planck Institute for Software Systems); Shweta Shinde (ETH Zurich)
Streaming Sparse Matrix Multiplication on FPGAs via Sparsity-Aware Data ReorderingShuxuan Li, Wim Vanderbauwhede, Nikela Papadopoulou (University of Glasgow)
STEEL: Sparsity-Aware Fused Attention for Energy-Efficient Long-Sequence Inference on AMD’s XDNA™ NPUVictor J. B. Jung (ETH Zurich & AMD); Gagandeep Singh, Joseph Melber, Kristof Denolf (AMD); Francesco Conti (University of Bologna); Luca Benini (ETH Zurich & University of Bologna)

Poster Session 2

TitleAuthors
MLIR-DPR: A Compiler Framework for Automating Dynamic Partial ReconfigurationGabriel Rodriguez-Canal, Nick Brown (EPCC, University of Edinburgh); Maurice Jamieson (EPCC University of Edinburgh); Nicolas Bohm Agostini, Ankur Limaye, Vito Giovanni Castellana, Josepth Manzano, Antonino Tumeo (Pacific Northwest National Laboratory)
Chariot: Compiler-Aware Heterogeneous Graph Representation Learning for Automated HLS OptimizationYanlong Huang, Jierui Liu, Yuhan She (The City University of Hong Kong); Rongliang Fu, Tsung-Yi Ho (The Chinese University of Hong Kong); Hong Yan, Ray C.C. Cheung (The City University of Hong Kong)
DTCore: A Compiler-Directed Control-Minimal FPGA Compute EngineWei-Cheng Zeng, Kuan-Ting Lai (National Taipei University of Technology)
Utilising Pipelined Buses to Provide Resource Efficient Dynamic Thread Scheduling in Barrel Scheduled ProcessorsThomas Bain, David Thomas, Graeme Bragg (University of Southampton)
Design Space Exploration for Layer Pipelined DNN Accelerators Based on FPGAsYiwei Wang, Chang Wu (Fudan University)
A Hybrid Ising FPGA-COBI Architecture with Hardware Based Problem DecompositionRuihong Yin, Yue Zheng, Chaohui Li, Ahmet Efe, Abhimanyu Kumar, Ziqing Zeng, Ulya R. Karpuzcu, Sachin S. Sapatnekar, Chris H. Kim (University of Minnesota)
Precision-aware Communication in CGRAsShwet Chitnis, Fergus Xu, Ayush Kulkarni, Jiayi Wang, Jingqun Zhang (University of Washington); Arjun Raje (Carnegie Mellon University); Ang Li (University of Washington)
Towards Small Language Models on FPGAs with A-PACE: Attention Precision & Accumulation Co-design ExplorerFilip Wojcicki, Omar Sharif, Ebby Samson, Paul H. J. Kelly, George A. Constantinides, Christos-Savvas Bouganis (Imperial College London); Wayne Luk (Imperial College)
SCOPE: SCalable and Observable PEripheral-Borrowing Framework for FPGA-Based PrototypingJiarun Yan, Ao Liu, Si Zhang, Congwu Zhang, Yazhou Wang, Shiqi Liu, Ke Zhang (Institute of Computing Technology, Chinese Academy of Sciences)
LENS-HLS: LLM-Enhanced Learning-based Design Space Exploration for High-Level SynthesisYujie Yan, Guanhua Chen, Keren Zhu (Fudan University)
ForgeBench: A Machine Learning Benchmark Suite and Auto-Generation Framework for Next-Generation HLS ToolsAndy Wanna, Hanqiu Chen, Cong Hao (Georgia Institute of Technology)

Poster Session 3

TitleAuthors
An Efficient Dataflow Framework for DiT-Based Image GenerationYazhe Zhang, Shouyu Du, Zhenyu Xu, Miaoxiang Yu, Dingjiang Yan, Zhiheng Ni (Clemson University); Qing Yang (The University of Rhode Island); Tao Wei (Clemson University)
DORA: Dataflow-Instruction Orchestration Architecture for DNN AccelerationXingzhen Chen, Zhuoping Yang, Jinming Zhuang, Shixin Ji, Sarah Schultz (Brown University); Zheng Dong (Wayne State University); Weisong Shi (University of Delaware); Peipei Zhou (Brown University)
HAMG: A Hierarchical Automated MemTile-based GEMM Accelerator for Versal AIE-MLKai Shao (Southeast University); Erwei Wang (AMD); He Li (Southeast University)
CrossFuse: A Fused Mixed-Precision kernel Library for Efficient Quantized LLM Inference on XDNA NPUWesley Pang, Gregory Jun, Feiyang Liu, Deming Chen (University of Illinois Urbana-Champaign)
Lightweight Lossless Compression Scheme for Video Applications on Versal ACAP DevicesSharan Kumar, Sandesh Goyal, Atreyee Saha, Srini Srinivasan, Aashish Tripathi (AMD)
FAST-Prefill: FPGA Accelerated Sparse Attention for Long Context LLM PrefillRakshith Jayanth, Viktor Prasanna (University of Southern California)
Lightweight Queueing Abstraction for Rapid Simulation and Automated Tuning of Input-Dependent Streaming Pipelines on FPGAsShashank Obla (Carnegie Mellon University); Bin Li (Intel); James Hoe (Carnegie Mellon University)
EDSSC: An Efficient FPGA-based Accelerator for Dynamic Sparse Spectral ClusteringZhengyan Liu (Tianjin University / Imperial College London); Ce Guo, Zehuan Zhang (Imperial College London); Qiang Liu (Tianjin University); Wayne Luk (Imperial College)
Combining HLS and Computation Coding for Balanced Matrix-Vector Engines on FPGASayanti Pal, Alexander Lehnert, Marc Reichenbach (University of Rostock)
Sparse Compressed Quantized Dataflow Architecture (QUDA) for Neuromorphic ComputingShadi Matinizadeh, Anup Das (Drexel University)
Efficient Split-Posit DSP Slice Architecture for Embedded FPGA FabricsArun M, Madhav Rao (IIIT Bangalore)