FPL

Publications

2023

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