| 2025 | Chronbench: An Incremental HDL Benchmark Suite. | Zakary Nafziger, Steven J. E. Wilton |
| 2025 | C2OPU: Hybrid Compute-in-Memory and Coarse-Grained Reconfigurable Architecture for Overlay Processing of Transformers. | Siyuan Miao, Lingkang Zhu, Chen Wu, Shaoqiang Lu, Jinming Lyu, Lei He |
| 2025 | Efficient and Distributed Computation of Electron Repulsion Integrals on AMD AI Engines. | Johannes Menzel, Christian Plessl |
| 2025 | EVO-QNN: Efficient Mixed-Precision Quantization Inference on RISC-V-Based Edge Device. | Tianshuo Lu, Jianyang Ding, Huachen Zhang, Bowen Jiang, Wei Xu, Zhilei Chai |
| 2025 | SparseLUT: Sparse Connectivity Optimization for Lookup Table-Based Deep Neural Networks. | Binglei Lou, Ruilin Wu, Philip Leong |
| 2025 | TrackGNN: A Highly Parallelized and Self-Adaptive GNN Accelerator for Track Reconstruction on FPGAs. | Shuyang Li, Hanqing Zhang, Ruiqi Chen, Bruno da Silva, Giorgian Borca-Tasciuc, Dantong Yu, Cong Hao |
| 2025 | BiKA: Binarized KAN-inspired Neural Network for Efficient Hardware Accelerator Designs. | Yuhao Liu, Salim Ullah, Akash Kumar |
| 2025 | Banked Memories for Soft SIMT Processors. | Martin Langhammer, George A. Constantinides |
| 2025 | AutoNTT: Automatic Architecture Design and Exploration for Number Theoretic Transform Acceleration on FPGAs. | Dilshan Kumarathunga, Qilin Hu, Zhenman Fang |
| 2025 | RealProbe: An Automated and Lightweight Performance Profiler for In-FPGA Execution of High-Level Synthesis Designs. | Jiho Kim, Cong Hao |
| 2025 | NoH: NoC Compilation in High-Level Synthesis. | Huifeng Ke, Sihao Liu, Licheng Guo, Zifan He, Linghao Song, Suhail Basalama, Yuze Chi, Tony Nowatzki, Jason Cong |
| 2025 | Optimized Coding and Parameter Selection for Efficient FPGA Design of Attention Mechanisms. | Ehsan Kabir, Austin R. J. Downey, Jason D. Bakos, David Andrews, Miaoqing Huang |
| 2025 | IceSpy: Reconfigurable Edge Accelerator for Scalable and Private Structural Health Monitoring. | Alexandra Zhang Jiang, Jonathan Ta, Yuqiao Li, Zhou Li, Nalini Venkatasubramanian, Monica D. Kohler, Sang-Woo Jun |
| 2025 | A FeFET-Based Compute-in-Memory Architecture on FPGA for Neural Network Inference. | Minghan Jiang, Yonggen Li, Rui Xiao, Haibin Shen, Kejie Huang |
| 2025 | Transfer Learning on the Edge for a Wireless Application Using an SoC Platform. | Yiyue Jiang, John Dooley, Aidan Edward Colgan, Jonathan Guimaraes Ribeiro, Zhilin Ren, Miriam Leeser |
| 2025 | A Partitioning-Based CAD Flow for Interposer-Based Multi-Die FPGAs. | Mahesh A. Iyer, Andrew B. Kahng, Jason Luu, Bodhisatta Pramanik, Kristofer Vorwerk, Grace Zgheib |
| 2025 | Efficiency, Expressivity, and Extensibility in a Close-to-Metal NPU Programming Interface. | Erika Hunhoff, Joseph Melber, Kristof Denolf, Andra Bisca, Samuel Bayliss, Stephen Neuendorffer, Jeff Fifield, Jack Lo, Pranathi Vasireddy, Phil James-Roxby, Eric Keller |
| 2025 | ITERA-LLM: Boosting Sub-8-Bit Large Language Model Inference via Iterative Tensor Decomposition. | Yinting Huang, Keran Zheng, Zhewen Yu, Christos-Savvas Bouganis |
| 2025 | InTAR: Inter-Task Auto-Reconfigurable Accelerator Design for High Data Volume Variation in DNNs. | Zifan He, Anderson Truong, Yingqi Cao, Jason Cong |
| 2025 | Ph.D. Project: An Efficient NTT Accelerator Supporting Various Lengths for HHE. | Hang Gu, Teng Wang, Chao Wang |
| 2025 | Toward Reconfigurable In-Pixel Computing: A Fault-Tolerant Design Flow for Machine Learning Accelerators: (Invited Paper). | Houxuan Guo, Manuel Blanco Valentin, Xiuyuan He, Seda Ogrenci |
| 2025 | HighWave: Large-Scale High-Bandwidth Wave Simulations on FPGAs. | Dimitrios Gourounas, Austin G. James, Bagus Hanindhito, Arash Fathi, Lizy K. John, Andreas Gerstlauer |
| 2025 | APR-OIS: A Near-Sensor Point Cloud Pre-Processing Accelerator on FPGA. | Yiming Gao, Herman Lam |
| 2025 | 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, Aman Arora, Paolo Faraboschi, Jim Ignowski, Luca Buonanno |
| 2025 | BCIM: A Bit-Serial Approach for Block-Cipher-in-Memory. | Andrew Dervay, Omar Al Kailani, Wenfeng Zhao |