| 2024 | Etna: MLIR-Based System-Level Design and Optimization for Transparent Application Execution on CPU-FPGA Nodes. | Stephanie Soldavini, Felix Suchert, Serena Curzel, Michele Fiorito, Karl F. A. Friebel, Fabrizio Ferrandi, Radim Cmar, Jernimo Castrilln, Christian Pilato |
| 2024 | OS4C: An Open-Source SR-IOV System for SmartNIC-based Cloud Platforms. | Scott Smith, Yuan Ma, Marissa Lanz, Bill Dai, Martin Ohmacht, Bharat Sukhwani, Hubertus Franke, Volodymyr V. Kindratenko, Deming Chen |
| 2024 | HardCilk: Cilk-like Task Parallelism for FPGAs. | Mohamed Shahawy, Canberk Snmez, Cemalettin Belentepe, Paolo Ienne |
| 2024 | Ph.D. Project: Compiler-Driven Hardware/Software Co- Design for Embedded AI. | Patrick Schmidt, Jrgen Becker |
| 2024 | LightningSimV2: Faster and Scalable Simulation for High-Level Synthesis via Graph Compilation and Optimization. | Rishov Sarkar, Rachel Paul, Cong Hao |
| 2024 | Ph.D. Project: Modernizing High-Level Hardware Design Workflows. | Rishov Sarkar, Cong Hao |
| 2024 | MRH-GCN: An Efficient GCN Accelerator for Multi-Relation Heterogeneous Graph. | Wenlu Peng, Jianjun Chen, Wenjin Huang, Yihua Huang |
| 2024 | Accelerating ViT Inference on FPGA through Static and Dynamic Pruning. | Dhruv Parikh, Shouyi Li, Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna |
| 2024 | HBMorphic: FHE Acceleration via HBM-Enabled Recursive Karatsuba Multiplier on FPGA. | Hassan Nassar, Lars Bauer, Jrg Henkel |
| 2024 | Learned Index Acceleration with FPGAs: A SMART Approach. | Geetesh More, Suprio Ray, Kenneth B. Kent |
| 2024 | Synthesis of LUT Networks for Random-Looking Dense Functions with Don't Cares - Towards Efficient FPGA Implementation of DNN. | Yukio Miyasaka, Alan Mishchenko, John Wawrzynek, Nicholas J. Fraser |
| 2024 | Ph.D. Project: Field-Programmable Computing for Bayesian Network Structure Learning. | Ryota Miyagi, Hideki Takase |
| 2024 | A Near-Sensor Image Processing Accelerator for Low-end FPGA Design. | Peter Mbua, Zhaoqi Wang, Maximillian Panoff, Christophe Bobda |
| 2024 | Ph.D. Project Investigating Chiplet Interfaces for Efficient Near-Sensor Computing in Visual On-Device Intelligence. | Peter Mbua, Christophe Bobda |
| 2024 | LGBM2VHDL: Mapping of LightGBM Models to FPGA. | Toms Martnek, Jan Korenek, Toms Cejka |
| 2024 | A Routability-Driven Ultrascale FPGA Macro Placer with Complex Design Constraints. | Qin Luo, Xinshi Zang, Qijing Wang, Fangzhou Wang, Evangeline F. Y. Young, Martin D. F. Wong |
| 2024 | BitSys: Bitwise Systolic Array Architecture for Multi-precision Quantized Hardware Accelerators. | Yuhao Liu, Salim Ullah, Akash Kumar |
| 2024 | RingTK: A Ring, Parallel and High Performance Top-K Sorter on FPGA. | Huawen Liang, Qizhe Wu, Wei Yuan, Teng Tian, Xi Jin |
| 2024 | PCQ: Parallel Compact Quantum Circuit Simulation. | Shuang Liang, Yuncheng Lu, Ce Guo, Wayne Luk, Paul H. J. Kelly |
| 2024 | FINESSD: Near-Storage Feature Selection with Mutual Information for Resource-Limited FPGAs. | Nikolaos Kyparissas, Gavin Brown, Mikel Lujn |
| 2024 | Ph.D. Project: A Compiler-Driven Approach to HW/SW Co-Design of Deep-Learning Accelerators. | Tendayi Kamucheka, David Andrews |
| 2024 | The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators. | M. D. Arafat Kabir, Tendayi Kamucheka, Nathaniel Fredricks, Joel Mandebi, Jason D. Bakos, Miaoqing Huang, David Andrews |
| 2024 | High Throughput Massive MIMO Signal Decoding Using Multi-Level Tree Search on FPGAs. | Mohamed W. Hassan, Hatem Ltaief, Suhaib A. Fahmy |
| 2024 | PhD Project: Reconfigurable Network on Chip Architecture Through Topology Obfuscation For Protecting SoC Against Reverse Engineering. | Dipal Halder, Sandip Ray |
| 2024 | Efficient 8-bit Matrix Multiplication on Intel Agilex-5 FPGAs. | Sergey Gribok, Bogdan Pasca |