| 2024 | FPGA Benchmark for Unrolled DNNs with Fine-Grained Sparsity and Mixed Precision. | Xilai Dai, Yuzong Chen, Mohamed S. Abdelfattah |
| 2024 | MPC-Wrapper: Fully Harnessing the Potential of Samsung Aquabolt-XL HBM2-PIM on FPGAs. | Jinwoo Choi, Yeonan Ha, Hanna Cha, Seil Lee, Sungchul Lee, Jounghoo Lee, Shinhaeng Kang, Bongjun Kim, Hanwoong Jung, Hanjun Kim, Youngsok Kim |
| 2024 | High-Performance Reconfigurable Accelerator for Knowledge Graph Reasoning. | Hanning Chen, Ali Zakeri, Yang Ni, Fei Wen, Behnam Khaleghi, Hugo Latapie, Mohsen Imani |
| 2024 | Ph.D. Project: Optimizing the Data Traffic for Large Graph Processing on FPGA via a Stateful Approach. | Qianyu Cheng, Teng Wang, Chao Wang |
| 2024 | if-ZKP: Intel FPGA-Based Acceleration of Zero Knowledge Proofs. | Shahzad Ahmad Butt, Benjamin Reynolds, Veeraraghavan Ramamurthy, Xiao Xiao, Pohrong Chu, Setareh Sharifian, Sergey Gribok, Bogdan Pasca |
| 2024 | Ph.D. Project: Systems-on-Chip to Implement Zero-Trust Architectures. | Abigail N. Butka, Christophe Bobda |
| 2024 | Ph.D. Project: Investigating oneAPI Performance & Scalability using Feedforward FFT Architectures. | James Bickerstaff, Alan D. George |
| 2024 | Mapping Enumeration for Multi-Context CGRAs Using Zero-Suppressed Binary Decision Diagrams. | Rami Beidas, Jason Helge Anderson |
| 2024 | Ph.D. Project: ManAge: A Tool for Timing Characterization of FPGAs. | Bardia Babaei, Dirk Koch |
| 2024 | Ph.D. Project - IsoFPGA - A Novel CMOS Galvanic Isolation for Remote Physical Attacks in Multi-tenant Cloud FPGA. | Muhammed Kawser Ahmed, Christophe Bobda |
| 2023 | DataMaster: A GNN-based Data Type Optimizer for Dataflow Design in FPGA. | Zheyuan Zou, Lei Gong, Chao Wang, Xuehai Zhou |
| 2023 | SpCNA: An FPGA-based Accelerator for Point Cloud Convolutional Neural Networks. | Gong-Lang Zhou, Kaiyuan Guo, Xiang Chen, Kwok Wa Leung |
| 2023 | Tensor-Product-Based Accelerator for Area-efficient and Scalable Number Theoretic Transform. | Yuying Zhang, Sathi Sarveswara Reddy, Zili Kou, Sharad Sinha, Wei Zhang |
| 2023 | Feature Extraction Accelerator for Streaming Time Series. | Prithviraj Yuvaraj, Amin Akalantar, Eamonn J. Keogh, Philip Brisk |
| 2023 | HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks. | Geng Yang, Jie Lei, Zhenman Fang, Yunsong Li, Jiaqing Zhang, Weiying Xie |
| 2023 | Computing and Compressing Electron Repulsion Integrals on FPGAs. | Xin Wu, Tobias Kenter, Robert Schade, Thomas D. Khne, Christian Plessl |
| 2023 | SCCL: An open-source SystemC to RTL translator. | Zhuanhao Wu, Maya B. Gokhale, Scott Lloyd, Hiren D. Patel |
| 2023 | Moth: A Hardware Accelerator for Neural Radiance Field Inference on FPGA. | Yuanfang Wang, Yu Li, Haoyang Zhang, Jun Yu, Kun Wang |
| 2023 | CXL over Ethernet: A Novel FPGA-based Memory Disaggregation Design in Data Centers. | Chenjiu Wang, Ke He, Ruiqi Fan, Xiaonan Wang, Wei Wang, Qinfen Hao |
| 2023 | HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices. | Petros Toupas, Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis, Dimitrios Tzovaras |
| 2023 | Enabling Elastic Resource Management in Cloud FPGAs via A Multi-layer Collaborative Approach. | Wenbin Teng, Lei Gong, Chao Wang, Xuehai Zhou |
| 2023 | Dynamically Scheduled Memory Operations in Static High-Level Synthesis. | Robert Szafarczyk, Syed Waqar Nabi, Wim Vanderbauwhede |
| 2023 | Placement Optimization for NoC-Enhanced FPGAs. | Srivatsan Srinivasan, Andrew Boutros, Fatemehsadat Mahmoudi, Vaughn Betz |
| 2023 | From Acceleration to Accelerating Acceleration: Modernizing the Accelerator Landscape using High-Level Synthesis. | Rishov Sarkar, Cong Hao |
| 2023 | LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis. | Rishov Sarkar, Cong Hao |