| 2025 | Ph.D. Project: A Novel Compilation-Based Approach for Generating Sparse Tensor Accelerators. | Xingyan Chen, Lei Gong, Chao Wang |
| 2025 | Accelerating Scientific Model Optimization with a Pipelined FPGA-Based Differential Evolution Engine. | Manuel de Castro, Roberto R. Osorio, Yuri Torres, Diego R. Llanos |
| 2025 | An Energy-Efficient FPGA-Based Vision Transformer Accelerator via Software-Hardware Co-Design. | Jiacheng Cao, Jiaqi Guo, Wei Xiong, Huanlin Luo, Jian Wang, Jinmei Lai |
| 2025 | DRSA: Accelerating Macro Placement on Commercial FPGAs. | Menzo Bouaissi, Paolo Ienne, Lana Josipovic, Andrea Guerrieri |
| 2025 | Performance Modeling and Comparisons of an FPGA-based Direct Simulation Monte Carlo Solver. | Saleen Bhattarai, Edwin G. W. Peters, Sean O'Byrne, David Petty |
| 2025 | Compute-In-Memory on FPGAs for Deep Learning: A Review. | Aman Arora |
| 2025 | Ph.D. Project Hardware-Aware Neural Networks. | Marta Andronic, George A. Constantinides |
| 2025 | NeuraLUT-Assemble: Hardware-Aware Assembling of Sub-Neural Networks for Efficient LUT Inference. | Marta Andronic, George A. Constantinides |
| 2025 | SoftCUDA: Running CUDA on Softcore GPU. | Chihyo Ahn, Ruobing Han, Udit Subramanya, Jisheng Zhao, Blaise Tine, Hyesoon Kim |
| 2025 | UltraFormer: An Efficient Transformer for FPGAs. | Victor Agostinelli, Nicolas Bohm Agostini, Antonino Tumeo |
| 2025 | High Throughput Matrix Transposition on HBM-Enabled FPGAs. | Yang Yang, Rajgopal Kannan, Viktor K. Prasanna |
| 2025 | FPGA-Based Approximate Multiplier for FP8. | Ruiqi Chen, Yangxintong Lyu, Han Bao, Jiayu Liu, Yanxiang Zhu, Shidi Tang, Ming Ling, Bruno da Silva |
| 2024 | SDAcc: A Stable Diffusion Accelerator on FPGA via Software-Hardware Co-Design. | Hao Zhou, Yang Liu, Hongji Wang, Enhao Tang, Shun Li, Yifan Zhang, Kun Wang |
| 2024 | Ph.D. Project: Achieving Low-Latency Acceleration on Multi-FPGA for GPT Application. | Zhendong Zheng, Teng Wang, Chao Wang |
| 2024 | GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA. | Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna |
| 2024 | Stay Flexible: A High-Performance FPGA NPU Overlay for Graph Neural Networks. | Taikun Zhang, Andrew Boutros, Sergey Gribok, Kwadwo Boateng, Vaughn Betz |
| 2024 | LAMPS: A Layer-wised Mixed-Precision-and-Sparsity Accelerator for NAS-Optimized CNNs on FPGA. | Shuxin Yang, Chenchen Ding, Mingqiang Huang, Kai Li, Chenghao Li, Zikun Wei, Sixiao Huang, Jingyao Dong, Liuyang Zhang, Hao Yu |
| 2024 | Bandwidth Efficient Homomorphic Encrypted Discrete Fourier Transform Acceleration on FPGA. | Zhihan Xu, Yang Yang, Rajgopal Kannan, Viktor K. Prasanna |
| 2024 | SpGCN: An FPGA-Based Graph Convolutional Network Accelerator for Sparse Graphs. | Xiangzhi Xu, Qi Liu, Wenjin Huang, Wenlu Peng, Yihua Huang |
| 2024 | A Data-Driven, Congestion-Aware and Open-Source Timing-Driven FPGA Placer Accelerated by GPUs. | Zhili Xiong, Rachel Selina Rajarathnam, David Z. Pan |
| 2024 | A Novel FPGA Accelerator of R(2+1)D. | Dehao Xiang, Chenyang Li, Wenjin Huang, Yihua Huang |
| 2024 | SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction. | Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis, Dimitrios Tzovaras |
| 2024 | HiHiSpMV: Sparse Matrix Vector Multiplication with Hierarchical Row Reductions on FPGAs with High Bandwidth Memory. | Abdul Rehman Tareen, Marius Meyer, Christian Plessl, Tobias Kenter |
| 2024 | Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs. | Endri Taka, Dimitrios Gourounas, Andreas Gerstlauer, Diana Marculescu, Aman Arora |
| 2024 | Ph.D. Project: Accelerated Machine Learning for On-Orbit OPIR Target Detection. | Daniel C. Stumpp, Alan D. George |