| 2024 | 34th International Conference on Field-Programmable Logic and Applications, FPL 2024, Torino, Italy, September 2-6, 2024 |
| 2024 | A Better Kyber Butterfly for FPGAs. Jonas Bertels, Quinten Norga, Ingrid Verbauwhede |
| 2024 | A Heterogeneous Acceleration System for Attention-Based Multi-Agent Reinforcement Learning. Samuel Wiggins, Yuan Meng, Mahesh A. Iyer, Viktor K. Prasanna |
| 2024 | A High-Performance Routing Engine for Large-Scale FPGAs. Timothy Martin, Dani Maarouf, Gary Gréwal, Shawki Areibi |
| 2024 | A Software-Programmable Neural Processing Unit for Graph Neural Network Inference on FPGAs. Taikun Zhang, Andrew Boutros, Sergey Gribok, Kwadwo Boateng, Vaughn Betz |
| 2024 | AMA: An Analytical Approach to Maximizing the Efficiency of Deep Learning on Versal AI Engine. Xiaodong Deng, Shijie Wang, Tianyi Gao, Jing Liu, Longjun Liu, Nanning Zheng |
| 2024 | An Open-Source And Extensible Framework for Fast Prototyping and Benchmarking of Spiking Neural Network Hardware. Shadi Matinizadeh, Anup Das |
| 2024 | Better Together: Combining Analytical and Annealing Methods for FPGA Placement. Rachel Selina Rajarathnam, Kate Thurmer, Vaughn Betz, Mahesh A. Iyer, David Z. Pan |
| 2024 | BitBlender: Scalable Bloom Filter Acceleration on FPGAs with Dynamic Scheduling. Kenneth Liu, Alec Lu, Zhenman Fang |
| 2024 | CFEACT: A CGRA-based Framework Enabling Agile CNN and Transformer Accelerator Design. Yiqing Mao, Xuchen Gao, Jiahang Lou, Yunhui Qiu, Wenbo Yin, Wai-Shing Luk, Lingli Wang |
| 2024 | CFSA: An Efficient CPU-FPGA Synergies Accelerator for Neural Radiation Field Rendering. Shangrong Li, Kai Liu, Wei Liu, Zibo Guo |
| 2024 | Chimera: A co-simulation framework combining with gem5 and FPGA platform for efficient verification. Chao Fu, Zengshi Wang, Jun Han |
| 2024 | DTrans: A Dataflow-transformation FPGA Accelerator with Nonlinear-operators fusion aiming for the Generative Model. Xuanzheng Wang, Shuo Miao, Peng Qu, Youhui Zhang |
| 2024 | DynaRapid: Fast-Tracking from C to Routed Circuits. Andrea Guerrieri, Srijeet Guha, Chris Lavin, Eddie Hung, Lana Josipovic, Paolo Ienne |
| 2024 | E Mahboobe Sadeghipour Roodsari, Jonas Krautter, Vincent Meyers, Mehdi B. Tahoori |
| 2024 | Efficient Design Space Exploration for Dynamic & Speculative High-Level Synthesis. Dylan Leothaud, Jean-Michel Gorius, Simon Rokicki, Steven Derrien |
| 2024 | Energy-Aware Synchronization of Hardware Tasks in Virtualized Embedded Systems. Cornelia Wulf, Gökhan Akgün, Mehdi Safarpour, Anastacia Grishchenko, Diana Göhringer |
| 2024 | Exploring FPGA designs for MX and beyond. Ebby Samson, Naveen Mellempudi, Wayne Luk, George A. Constantinides |
| 2024 | Exploring the Versal AI Engines for Signal Processing in Radio Astronomy. Victor Van Wijhe, Vincent Sprave, Daniele Passaretti, Nikolaos Alachiotis, Gerrit Grutzeck, Thilo Pionteck, Steven van der Vlugt |
| 2024 | FORC: A High-Throughput Streaming FPGA Accelerator for Optimized Row Columnar File Decoders in Big Data Engines. Abdul Wadood, Alec Lu, Ken Zhang, Zhenman Fang |
| 2024 | FPGA Modular Multipliers using Hybrid Reduction Techniques. Sergey Gribok, Martin Langhammer, Bogdan Pasca |
| 2024 | Fast Switching Activity Estimation for HLS-Produced Dataflow Circuits. Jiantao Liu, Maksymilian Graczyk, Andrea Guerrieri, Lana Josipovic |
| 2024 | Fast and Practical Strassen's Matrix Multiplication using FPGAs. Afzal Ahmad, Linfeng Du, Wei Zhang |
| 2024 | Fitop-Trans: Maximizing Transformer Pipeline Efficiency through Fixed-Length Token Pruning on FPGA. Kejia Shi, Manting Zhang, Keqing Zhao, Xiaoxing Wu, Yang Liu, Jun Yu, Kun Wang |
| 2024 | FlexWalker: An Efficient Multi-Objective Design Space Exploration Framework for HLS Design. Zheyuan Zou, Cheng Tang, Lei Gong, Chao Wang, Xuehai Zhou |
| 2024 | FlexiMem: Flexible Shared Virtual Memory for PCIe-attached FPGAs. Canberk Sönmez, Mohamed Shahawy, Cemalettin Cem Belentepe, Paolo Ienne |
| 2024 | H2PIPE: High Throughput CNN Inference on FPGAs with High-Bandwidth Memory. Mario Doumet, Marius Stan, Mathew Hall, Vaughn Betz |
| 2024 | HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator. Zhewen Yu, Sudarshan Sreeram, Krish Agrawal, Junyi Wu, Alexander Montgomerie-Corcoran, Cheng Zhang, Jianyi Cheng, Christos-Savvas Bouganis, Yiren Zhao |
| 2024 | IMAGine: An In-Memory Accelerated GEMV Engine Overlay. M. D. Arafat Kabir, Tendayi Kamucheka, Nathaniel Fredricks, Joel Mandebi, Jason D. Bakos, Miaoqing Huang, David Andrews |
| 2024 | JSON-CooP: A JSON Decompression/Parsing Co-Design for FPGAs. Tobias Hahn, Stefan Wildermann, Jürgen Teich |
| 2024 | KIT: Kernel Isotropic Transformation of Bilateral Filters for Image Denoising on FPGA. Fanny Spagnolo, Pasquale Corsonello, Fabio Frustaci, Stefania Perri |
| 2024 | Kratos: An FPGA Benchmark for Unrolled DNNs with Fine-Grained Sparsity and Mixed Precision. Xilai Dai, Yuzong Chen, Mohamed S. Abdelfattah |
| 2024 | LORA: A Latency-Oriented Recurrent Architecture for GPT Model on Multi-FPGA Platform with Communication Optimization. Zhendong Zheng, Qianyu Cheng, Teng Wang, Lei Gong, Xianglan Chen, Cheng Tang, Chao Wang, Xuehai Zhou |
| 2024 | Leveraging HBM2 for Accelerating k-mer Counting with oneAPI on FPGAs. Owen P. Lucas, Alan D. George |
| 2024 | NeuraLUT: Hiding Neural Network Density in Boolean Synthesizable Functions. Marta Andronic, George A. Constantinides |
| 2024 | PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs. Binglei Lou, Richard Rademacher, David Boland, Philip H. W. Leong |
| 2024 | Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines. Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng |
| 2024 | SA4: A Comprehensive Analysis and Optimization of Systolic Array Architecture for 4-bit Convolutions. Geng Yang, Jie Lei, Zhenman Fang, Jiaqing Zhang, Junrong Zhang, Weiying Xie, Yunsong Li |
| 2024 | SDA: Low-Bit Stable Diffusion Acceleration on Edge FPGAs. Geng Yang, Yanyue Xie, Zhong Jia Xue, Sung-En Chang, Yanyu Li, Peiyan Dong, Jie Lei, Weiying Xie, Yanzhi Wang, Xue Lin, Zhenman Fang |
| 2024 | SERI: High-Throughput Streaming Acceleration of Electron Repulsion Integral Computation in Quantum Chemistry using HBM-based FPGAs. Philip Stachura, Guanyu Li, Xin Wu, Christian Plessl, Zhenman Fang |
| 2024 | Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs. Shivam Aggarwal, Hans Jakob Damsgaard, Alessandro Pappalardo, Giuseppe Franco, Thomas B. Preußer, Michaela Blott, Tulika Mitra |
| 2024 | SoGraph: A State-Aware Architecture for Out-of-Memory Graph Processing on HBM-Equipped FPGAs. Qianyu Cheng, Zhendong Zheng, Tianhao Jiang, Cheng Tang, Teng Wang, Lei Gong, Chao Wang, Xuehai Zhou |
| 2024 | StencilStream: A SYCL-based Stencil Simulation Framework Targeting FPGAs. Jan-Oliver Opdenhövel, Christoph Alt, Christian Plessl, Tobias Kenter |
| 2024 | Techniques for Exploring Fine-Grained LUT and Routing Aging on a 28nm FPGA. Hayden Cook, Jeffrey Goeders |
| 2024 | The Road Less Traveled: Congestion-Aware NoC Placement and Packet Routing for FPGAs. Soheil Gholami Shahrouz, Vaughn Betz |
| 2024 | UniGuard: A Unified Hardware-oriented Threat Detector for FPGA-based AI Accelerators. Xiaobei Yan, Han Qiu, Tianwei Zhang |