| 2023 | 33rd International Conference on Field-Programmable Logic and Applications, FPL 2023, Gothenburg, Sweden, September 4-8, 2023 Nele Mentens, Leonel Sousa, Pedro Trancoso, Nikela Papadopoulou, Ioannis Sourdis |
| 2023 | A Novel Hardware Accelerator of NeRF Based on Xilinx UltraScale and UltraScale+ FPGA. Baoze Zhao, Wenjin Huang, Yihua Huang |
| 2023 | A Novel Strategy for Flexible Placement and Routing of AVS Sensors on FPGAs. Christoph Niemann, Michael Rethfeldt, Dirk Timmermann |
| 2023 | A Scalable and Cross-Technology Quantum Control Processor. Xiaorang Guo, Martin Schulz |
| 2023 | A Whole New World: How to Architect Beyond-FPGA Reconfigurable Acceleration Devices? Andrew Boutros, Stephen More, Vaughn Betz |
| 2023 | Accelerating LSTM-Based High-Rate Dynamic System Models. Ehsan Kabir, Daniel Coble, Joud N. Satme, Austin R. J. Downey, Jason D. Bakos, David Andrews, Miaoqing Huang |
| 2023 | Accelerating SpMV on FPGAs Through Block-Row Compress: A Task-Based Approach. José Oliver, Carlos Álvarez, Teresa Cervero, Xavier Martorell, John D. Davis, Eduard Ayguadé |
| 2023 | Accelerating the ATDCA Algorithm for Endmember Extraction from Hyperspectral Imagery with Intel oneAPI for FPGAs. Rubén Macias, Sergio Bernabé, Carlos González |
| 2023 | An Efficient Sparse LSTM Accelerator on Embedded FPGAs with Bandwidth-Oriented Pruning. Shiqing Li, Shien Zhu, Xiangzhong Luo, Tao Luo, Weichen Liu |
| 2023 | An Open-Source Framework for Efficient Numerically-Tailored Computations. Louis Ledoux, Marc Casas |
| 2023 | Automated Masking of FPGA-Mapped Designs. Nicolai Müller, Sergej Meschkov, Dennis R. E. Gnad, Mehdi B. Tahoori, Amir Moradi |
| 2023 | Bayesian Optimization for Efficient Heterogeneous MPSoC Based DNN Accelerator Runtime Tuning. Xuqi Zhu, Cong Gao, Sangeet Saha, Xiaojun Zhai, Klaus D. McDonald-Maier |
| 2023 | Building Low-Latency Order Books with Hybrid Binary-Linear Search Data Structures on FPGAs. Vaibhav Kashera, Siddhant Jain, Abhishek Banerjee, Suresh Purini |
| 2023 | Building a Reusable and Extensible Automatic Compiler Infrastructure for Reconfigurable Devices. Zhenya Zang, Uwe Dolinsky, Pietro Ghiglio, Stefano Cherubin, Mehdi Goli, Shufan Yang |
| 2023 | Calabash: Accelerating Attention Using a Systolic Array Chain on FPGAs. Zizhang Luo, Liqiang Lu, Yicheng Jin, Liancheng Jia, Yun Liang |
| 2023 | Challenges Using FPGA Clusters for Distributed CNN Training. Philipp Kreowsky, Justin Knapheide, Benno Stabernack |
| 2023 | Co-ViSu: a Video Super-Resolution Accelerator Exploiting Codec Information Reuse. Haishuang Fan, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan |
| 2023 | Compiler Discovered Dynamic Scheduling of Irregular Code in High-Level Synthesis. Robert Szafarczyk, Syed Waqar Nabi, Wim Vanderbauwhede |
| 2023 | DIF-LUT: A Simple Yet Scalable Approximation for Non-Linear Activation Function on FPGA. Yang Liu, Xiaoming He, Jun Yu, Kun Wang |
| 2023 | Demonstrating NADA: A Workflow for Distributed CNN Training on FPGA Clusters. Justin Knapheide, Philipp Kreowsky, Benno Stabernack |
| 2023 | DiAD - Distributed Acceleration for Datacenter FPGAs. Joshua Lant, Emmanouil Skordalakis, Kyriakos Paraskevas, William B. Toms, Mikel Luján, John Goodacre |
| 2023 | Efficient Resource Scheduling for Runtime Reconfigurable Systems on FPGAs. Shaden M. Alismail, Dirk Koch |
| 2023 | Exploiting On-Chip Heterogeneity of Versal Architecture for GNN Inference Acceleration. Paul Chen, Pavan Manjunath, Sasindu Wijeratne, Bingyi Zhang, Viktor K. Prasanna |
| 2023 | Exploring FPGA Acceleration for Distributed Serverless Computing. Ziyi Yang, Suhaib A. Fahmy |
| 2023 | Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN. Shashwat Khandelwal, Shanker Shreejith |
| 2023 | FABulous Demo: Open Source FPGA on Sky130. Myrtle Shah, Jakob Ternes, Dirk Koch |
| 2023 | FLAIRS: FPGA-Accelerated Inference-Resistant & Secure Federated Learning. Huimin Li, Phillip Rieger, Shaza Zeitouni, Stjepan Picek, Ahmad-Reza Sadeghi |
| 2023 | FPGA Accelerating Multi-Source Transfer Learning with GAT for Bioactivities of Ligands Targeting Orphan G Protein-Coupled Receptors. Ruiqi Chen, Haoyang Zhang, Jun Yu, Kun Wang |
| 2023 | FPGA Acceleration of Rotation in Homomorphic Encryption Using Dynamic Data Layout. Yang Yang, Weihang Long, Rajgopal Kannan, Viktor K. Prasanna |
| 2023 | FPGA Processor In Memory Architectures (PIMs): Overlay or Overhaul ? M. D. Arafat Kabir, Ehsan Kabir, Joshua Hollis, Eli Levy-Mackay, Atiyehsadat Panahi, Jason D. Bakos, Miaoqing Huang, David Andrews |
| 2023 | FPGA-Accelerated Causal Discovery with Conditional Independence Test Prioritization. Ce Guo, Diego Cupello, Wayne Luk, Joshua M. Levine, Alexander Warren, Peter Brookes |
| 2023 | FPL Demo: A Learning-Based Motion Artefact Detector for Heterogeneous Platforms. Yunyi Zhao, Yunjia Xia, Rui C. V. Loureiro, Hubin Zhao, Uwe Dolinsky, Shufan Yang |
| 2023 | FSSD: FPGA-Based Emulator for SSDs. Luyang Yu, Yizhen Lu, Meghna Mandava, Edward Richter, Vikram Sharma Mailthody, Seungwon Min, Wen-mei W. Hwu, Deming Chen |
| 2023 | Fortran High-Level Synthesis: Reducing the Barriers to Accelerating HPC Codes on FPGAs. Gabriel Rodriguez-Canal, Nick Brown, Tim Dykes, Jessica R. Jones, Utz-Uwe Haus |
| 2023 | GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization. Stefan Abi-Karam, Cong Hao |
| 2023 | GRAMM: Fast CGRA Application Mapping Based on A Heuristic for Finding Graph Minors. Guanglei Zhou, Mirjana Stojilovic, Jason Helge Anderson |
| 2023 | Graph-OPU: A Highly Integrated FPGA-Based Overlay Processor for Graph Neural Networks. Ruiqi Chen, Haoyang Zhang, Shun Li, Enhao Tang, Jun Yu, Kun Wang |
| 2023 | HPTA: A High Performance Transformer Accelerator Based on FPGA. Yuntao Han, Qiang Liu |
| 2023 | Hardware-Aware AutoML for Exploration of Custom FPGA Accelerators for RadioML. Felix Jentzsch |
| 2023 | HashCache: High-Performance State Tracking for Resilient FPGA-Based Packet Processing. Michael Offel, Andreas Ley, Sven Hager |
| 2023 | HyperGRAF: Hyperdimensional Graph-Based Reasoning Acceleration on FPGA. Hanning Chen, Ali Zakeri, Fei Wen, Hamza Errahmouni Barkam, Mohsen Imani |
| 2023 | Improving the Reliability of FPGA CRO PUFs. Hayden Cook, Zephram Tripp, Brad L. Hutchings, Jeffrey Goeders |
| 2023 | LTrans-OPU: A Low-Latency FPGA-Based Overlay Processor for Transformer Networks. Yueyin Bai, Hao Zhou, Keqing Zhao, Manting Zhang, Jianli Chen, Jun Yu, Kun Wang |
| 2023 | Low Latency Edge Classification GNN for Particle Trajectory Tracking on FPGAs. Shi-Yu Huang, Yun-Chen Yang, Yu-Ru Su, Bo-Cheng Lai, Javier M. Duarte, Scott Hauck, Shih-Chieh Hsu, Jin-Xuan Hu, Mark S. Neubauer |
| 2023 | MSDF-SGD: Most-Significant Digit-First Stochastic Gradient Descent for Arbitrary-Precision Training. Changjun Song, Yongming Tang, Jiyuan Liu, Sige Bian, Danni Deng, He Li |
| 2023 | MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration. Zhiqiang Que, Shuo Liu, Markus Rognlien, Ce Guo, José Gabriel F. Coutinho, Wayne Luk |
| 2023 | Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition. Zhewen Yu, Christos-Savvas Bouganis |
| 2023 | Multiple Constant Multiplication: From Target Constants to Optimized Pipelined Adder Graphs. Rémi Garcia, Anastasia Volkova |
| 2023 | Optimization Techniques for Hestenes-Jacobi SVD on FPGAs. Lukas Stasytis, Zsolt István |
| 2023 | PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration. Alexander Montgomerie-Corcoran, Zhewen Yu, Jianyi Cheng, Christos-Savvas Bouganis |
| 2023 | Partitioning Large-Scale, Multi-FPGA Applications for the Data Center. Mohammadmahdi Mazraeli, Yu Gao, Paul Chow |
| 2023 | Performance Estimation and Prototyping of Reconfigurable Near-Memory Computing Systems. Veronia Iskandar, Mohamed A. Abd El Ghany, Diana Goehringer |
| 2023 | Pipeline Balancing for Integrated Mapping in High Performance Spatial Programmable Architecture. Pengyu Liu, Zihan Zhang, Chen Yin, Liyan Chen, Jianfei Jiang, Qin Wang, Zhigang Mao, Naifeng Jing |
| 2023 | Preface. Ioannis Sourdis, Nele Mentens, Leonel Sousa, Pedro Trancoso |
| 2023 | Remote Identification of Neural Network FPGA Accelerators by Power Fingerprints. Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi Baradaran Tahoori |
| 2023 | SPADES: A Productive Design Flow for Versal Programmable Logic. Tan Nguyen, Zachary Blair, Stephen Neuendorffer, John Wawrzynek |
| 2023 | SPEAR-JSON: Selective Parsing of JSON to Enable Accelerated Stream Processing on FPGAs. Tobias Hahn, Stefan Wildermann, Jürgen Teich |
| 2023 | Stress-Resiliency of AI Implementations on FPGAs. Jonas Krautter, Paul R. Genssler, Gloria Sepanta, Hussam Amrouch, Mehdi B. Tahoori |
| 2023 | Tear Down The Wall: Unified and Efficient Intra-and Inter-Cluster Routing for FPGAs. Amin Mohaghegh, Vaughn Betz |
| 2023 | Titan 2.0: Enabling Open-Source CAD Evaluation with a Modern Architecture Capture. Kimia Talaei Khoozani, Arash Ahmadian Dehkordi, Vaughn Betz |
| 2023 | Token Packing for Transformers with Variable-Length Inputs. Tiandong Zhao, Siyuan Miao, Shaoqiang Lu, Jialin Cao, Jun Qiu, Xiao Shi, Kun Wang, Lei He |
| 2023 | Towards Coarse-Grained Reconfigurable Approximate Computing with CGRAgen. Hans Jakob Damsgaard, Aleksandr Ometov, Jari Nurmi |
| 2023 | VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization. Ruichen Chen, Shengyao Lu, Mohamed A. Elgammal, Peter Chun, Vaughn Betz, Di Niu |
| 2023 | eGPU: A 750 MHz Class Soft GPGPU for FPGA. Martin Langhammer, George A. Constantinides |
| 2023 | fpgaHART: A Toolflow for Throughput-Oriented Acceleration of 3D CNNs for HAR onto FPGAs. Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras |