| 2019 | A Deep Learning Inference Accelerator Based on Model Compression on FPGA. Lu Jing, Jun Liu, Fuhai Yu |
| 2019 | A Deep-Reinforcement-Learning-Based Scheduler for High-Level Synthesis. Hongzheng Chen, Minghua Shen |
| 2019 | A FPGA Implementation of Farneback Optical Flow by High-Level Synthesis. Chia-Wei Chang, Zi-Qi Zhong, Jing-Jia Liou |
| 2019 | A Fine-Grained Sparse Accelerator for Multi-Precision DNN. Shulin Zeng, Yujun Lin, Shuang Liang, Junlong Kang, Dongliang Xie, Yi Shan, Song Han, Yu Wang, Huazhong Yang |
| 2019 | A Hybrid Data-Consistent Framework for Link-Aware AccessManagement in Emerging CPU-FPGA Platforms. Liang Feng, Jieru Zhao, Tingyuan Liang, Sharad Sinha, Wei Zhang |
| 2019 | A Modular Heterogeneous Stack for Deploying FPGAs and CPUs in the Data Center. Nariman Eskandari, Naif Tarafdar, Daniel Ly-Ma, Paul Chow |
| 2019 | A PYNQ-compliant Online Platform for Zynq-based DNN Developers. Chen Chen, Jun Xia, Wenmin Yang, Kang Li, Zhilei Chai |
| 2019 | A Pixel-Parallel Virtual-Image Architecture for High Performance and Power Efficient Graph Cuts Inference. Tianqi Gao, Rob A. Rutenbar |
| 2019 | A Reconfigurable Accelerator for Sparse Convolutional Neural Networks. Weijie You, Chang Wu |
| 2019 | AFFIX: Automatic Acceleration Framework for FPGA Implementation of OpenVX Vision Algorithms. Sajjad Taheri, Payman Behnam, Eli Bozorgzadeh, Alexander V. Veidenbaum, Alexandru Nicolau |
| 2019 | Accelerating 3D CNN-based Lung Nodule Segmentation on a Multi-FPGA System. Junzhong Shen, Deguang Wang, You Huang, Mei Wen, Chunyuan Zhang |
| 2019 | An Energy-Efficient FPGA Implementation of an LSTM Network Using Approximate Computing. Elham Azari, Aykut Dengi, Sarma B. K. Vrudhula |
| 2019 | An FPGA-based Fine Tuning Accelerator for a Sparse CNN. Hiroki Nakahara, Akira Jinguji, Masayuki Shimoda, Shimpei Sato |
| 2019 | BRISC-V: An Open-Source Architecture Design Space Exploration Toolbox. Sahan Bandara, Alan Ehret, Donato Kava, Michel A. Kinsy |
| 2019 | Base64 Encoding on OpenCL FPGA Platform. Zheming Jin, Hal Finkel |
| 2019 | Breaking the Trust Dependence on Third Party Processes for Reconfigurable Secure Hardware. Aimee Coughlin, Greg Cusack, Jack Wampler, Eric Keller, Eric Wustrow |
| 2019 | Build Your Own Domain-specific Solutions with RapidWright: Invited Tutorial. Chris Lavin, Alireza Kaviani |
| 2019 | Building FPGA State Machines from Sequential Code. Carl-Johannes Johnsen, Kenneth Skovhede |
| 2019 | Characterization of Long Wire Data Leakage in Deep Submicron FPGAs. George Provelengios, Chethan Ramesh, Shivukumar B. Patil, Ken Eguro, Russell Tessier, Daniel E. Holcomb |
| 2019 | Cloud-DNN: An Open Framework for Mapping DNN Models to Cloud FPGAs. Yao Chen, Jiong He, Xiaofan Zhang, Cong Hao, Deming Chen |
| 2019 | Compressed CNN Training with FPGA-based Accelerator. Kaiyuan Guo, Shuang Liang, Jincheng Yu, Xuefei Ning, Wenshuo Li, Yu Wang, Huazhong Yang |
| 2019 | Compute-Efficient Neural-Network Acceleration. Ephrem Wu, Xiaoqian Zhang, David Berman, Inkeun Cho, John Thendean |
| 2019 | Constructing Concurrent Data Structures on FPGA with Channels. Hui Yan, Zhaoshi Li, Leibo Liu, Shouyi Yin, Shaojun Wei |
| 2019 | DNNVM: End-to-End Compiler Leveraging Operation Fusion on FPGA-based CNN Accelerators. Yu Xing, Shuang Liang, Lingzhi Sui, Zhen Zhang, Jiantao Qiu, Xijie Jia, Xin Liu, Yushun Wang, Yi Shan, Yu Wang |
| 2019 | Dataflow Systolic Array Implementations of Matrix Decomposition Using High Level Synthesis. Jie Liu, Jason Cong |
| 2019 | Design and Implementation of a Deterministic FPGA Router on a CPU+FPGA Acceleration Platform. Dario Korolija, Mirjana Stojilovic |
| 2019 | EASY: Efficient Arbiter SYnthesis from Multi-threaded Code. Jianyi Cheng, Shane T. Fleming, Yu Ting Chen, Jason Helge Anderson, George A. Constantinides |
| 2019 | Efficient Acceleration of CNNs for Semantic Segmentation on FPGAs. Sebastian Vogel, Jannik Springer, Andre Guntoro, Gerd Ascheid |
| 2019 | Efficient FPGA Implementation of Conjugate Gradient Methods for Laplacian System using HLS. Sahithi Rampalli, Natasha Sehgal, Ishita Bindlish, Tanya Tyagi, Pawan Kumar |
| 2019 | Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity. Shijie Cao, Chen Zhang, Zhuliang Yao, Wencong Xiao, Lanshun Nie, De-chen Zhan, Yunxin Liu, Ming Wu, Lintao Zhang |
| 2019 | Embracing Systolic: Super Systolization of Large-Scale Circulant Matrix-vector Multiplication on FPGA with Subquadratic Space Complexity. Jiafeng Xie, Chiou-Yng Lee |
| 2019 | Engaging Heterogeneous FPGAs in the Cloud. Ke Zhang, Yisong Chang, Mingyu Chen, Yungang Bao, Zhiwei Xu |
| 2019 | Enhancing Butterfly Fat Tree NoCs for FPGAs with Lightweight Flow Control. Gurshaant Singh Malik, Nachiket Kapre |
| 2019 | Evaluating and Enhancing Intel® Stratix® 10 FPGAs for Persistent Real-Time AI. Eriko Nurvitadhi, Dongup Kwon, Ali Jafari, Andrew Boutros, Jaewoong Sim, Phillip Tomson, Huseyin Sumbul, Gregory K. Chen, Phil C. Knag, Raghavan Kumar, Ram Krishnamurthy, Debbie Marr, Sergey Gribok, Bogdan Pasca, Martin Langhammer, Aravind Dasu |
| 2019 | F5-HD: Fast Flexible FPGA-based Framework for Refreshing Hyperdimensional Computing. Sahand Salamat, Mohsen Imani, Behnam Khaleghi, Tajana Rosing |
| 2019 | FASED: FPGA-Accelerated Simulation and Evaluation of DRAM. David Biancolin, Sagar Karandikar, Donggyu Kim, Jack Koenig, Andrew Waterman, Jonathan Bachrach, Krste Asanovic |
| 2019 | FPGA-based Distributed Edge Training of SVM. Jyotikrishna Dass, Yashwardhan Narawane, Rabi N. Mahapatra, Vivek Sarin |
| 2019 | FPGAs in Supercomputers: Opportunity or Folly? Deming Chen |
| 2019 | FTConv: FPGA Acceleration for Transposed Convolution Layers in Deep Neural Networks. Zhucheng Tang, Guojie Luo, Ming Jiang |
| 2019 | Fast Confidence Detection: One Hot Way to Detect Adversarial Attacks via Sensor Pattern Noise Fingerprinting. Yazhu Lan, Qingli Guo, Guohe Zhang, Yuanchao Xu, Kent W. Nixon, Hai Helen Li, Yiran Chen |
| 2019 | Fast Inference of Deep Neural Networks for Real-time Particle Physics Applications. Javier M. Duarte, Song Han, Philip C. Harris, Sergo Jindariani, Edward Kreinar, Benjamin Kreis, Vladimir Loncar, Jennifer Ngadiuba, Maurizio Pierini, Dylan S. Rankin, Ryan A. Rivera, Sioni Summers, Nhan Tran, Zhenbin Wu |
| 2019 | Fault Testing a Synthesizable Embedded Processor at Gate Level using UltraScale FPGA Emulation. Tom J. Mannos, Brian Dziki, Moslema Sharif |
| 2019 | Flat FPGA Fabrics Derived from 2D-Benes-BFT-Pyramid Networks with Optimizations and Enhancements. Venkat Konda |
| 2019 | Fractal Synthesis: Invited Tutorial. Martin Langhammer, Gregg Baeckler, Sergey Gribok |
| 2019 | HOTMeTaL: Hardware Optimization Tool for Memory Table and Logic Conversion. Michael P. Kapralos, John A. Chandy |
| 2019 | HSC-FPGA. Ramtin Zand, Ronald F. DeMara |
| 2019 | HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing. Yi-Hsiang Lai, Yuze Chi, Yuwei Hu, Jie Wang, Cody Hao Yu, Yuan Zhou, Jason Cong, Zhiru Zhang |
| 2019 | Hierarchical FPGA Fabrics using 2D-Benes-BFT-Pyramid Network Layouts with Optimizations. Venkat Konda |
| 2019 | Highly Efficient Sparse Neural Network Computing: Hardware and Software Solutions. Yanjie Gu, Jian Yu, Tieli Sun, Chen Pan, Zhenhao Feng, Liewei Xu, Chang Wu |
| 2019 | HopliteBuf: FPGA NoCs with Provably Stall-Free FIFOs. Tushar Garg, Saud Wasly, Rodolfo Pellizzoni, Nachiket Kapre |
| 2019 | How to Accelerate FPGA Application in an Asynchronous Way? Anping He, Jinlin Zhang, Lvying Yu, Pengfei Li, Lian Li |
| 2019 | Impact of Soft Errors on Large-Scale FPGA Cloud Computing. Andrew M. Keller, Michael J. Wirthlin |
| 2019 | Improving Performance of Graph Processing on FPGA-DRAM Platform by Two-level Vertex Caching. Zhiyuan Shao, Ruoshi Li, Diqing Hu, Xiaofei Liao, Hai Jin |
| 2019 | JuxtaPiton: Enabling Heterogeneous-ISA Research with RISC-V and SPARC FPGA Soft-cores. Katie Lim, Jonathan Balkind, David Wentzlaff |
| 2019 | LANMC: LSTM-Assisted Non-Rigid Motion Correction on FPGA for Calcium Image Stabilization. Zhe Chen, Hugh T. Blair, Jason Cong |
| 2019 | MODA-PSO: Towards Fast Hard Block Legalization for Analytical FPGA Placement. Yun Zhou, Dries Vercruyce, Dirk Stroobandt |
| 2019 | Math Doesn't Have to be Hard: Logic Block Architectures to Enhance Low-Precision Multiply-Accumulate on FPGAs. Andrew Boutros, Mohamed Eldafrawy, Sadegh Yazdanshenas, Vaughn Betz |
| 2019 | Maverick: A Stand-alone CAD Flow for Xilinx 7-Series FPGAs. Dallon Glick, Jesse Grigg, Brent E. Nelson, Michael J. Wirthlin |
| 2019 | Multi-Commodity Flow-Based Spreading in a Commercial Analytic Placer. Nima Karimpour Darav, Andrew A. Kennings, Kristofer Vorwerk, Arun Kundu |
| 2019 | Network-on-Chip Programmable Platform in Versal Ian Swarbrick, Dinesh Gaitonde, Sagheer Ahmad, Brian Gaide, Ygal Arbel |
| 2019 | Nuclear Reactor Simulations on OpenCL FPGA Platform. Zheming Jin, Hal Finkel |
| 2019 | On Feasibility of FPGAs Without Dedicated Programmable Interconnect Structure. Anastasiia Kucherenko, Stefan Nikolic, Paolo Ienne |
| 2019 | On-chip FPGA Debug Instrumentation for Machine Learning Applications. Daniel Holanda Noronha, Ruizhe Zhao, Jeffrey Goeders, Wayne Luk, Steven J. E. Wilton |
| 2019 | Optimizing Order-Associative Kernel Computation with Joint Memory Banking and Data Reuse. Juan Escobedo, Mingjie Lin |
| 2019 | Overcoming Data Transfer Bottlenecks in DNN Accelerators via Layer-Conscious Memory Managment. Xuechao Wei, Yun Liang, Peng Zhang, Cody Hao Yu, Jason Cong |
| 2019 | PAI-FCNN: FPGA Based CNN Inference System. Lansong Diao, Zhao Jiang, Hao Liang, Chang'an Ye, Kai Chen, Li Ding, Shunli Dou, Meng Sun, Lixue Xia, Jiansong Zhang, Wei Lin |
| 2019 | PVT-Aware Sensing and Voltage Scaling for Energy Efficient FPGAs. Konstantinos Maragos, George Lentaris, Dimitrios Soudris, Vasilis F. Pavlidis |
| 2019 | Parrot: A More Effective Parallel Routing Approach to FPGAs. Minghua Shen, Nong Xiao |
| 2019 | Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, FPGA 2019, Seaside, CA, USA, February 24-26, 2019 Kia Bazargan, Stephen Neuendorffer |
| 2019 | REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs. Caiwen Ding, Shuo Wang, Ning Liu, Kaidi Xu, Yanzhi Wang, Yun Liang |
| 2019 | Rapid Cycle-Accurate Simulator for High-Level Synthesis. Yuze Chi, Young-kyu Choi, Jason Cong, Jie Wang |
| 2019 | Reconfigurable Convolutional Kernels for Neural Networks on FPGAs. Martin Hardieck, Martin Kumm, Konrad Möller, Peter Zipf |
| 2019 | Scalable High Performance SDN Switch Architecture on FPGA for Core Networks. Sasindu Wijeratne, Ashen Ekanayake, Sandaruwan Jayaweera, Danuka Ravishan, Ajith Pasqual |
| 2019 | Scheduling Data in Neural Network Applications. Thaddeus Koehn, Peter Athanas |
| 2019 | Simultaneous Placement and Clock Tree Construction for Modern FPGAs. Wuxi Li, Mehrdad E. Dehkordi, Stephen Yang, David Z. Pan |
| 2019 | Software Hardware Co-Optimized BFS on FPGAs. Zachary Sherer, Eric Finnerty, Yan Luo, Hang Liu |
| 2019 | Sparse Winograd Convolutional Neural Networks on Small-scale Systolic Arrays. Feng Shi, Haochen Li, Yuhe Gao, Benjamin Kuschner, Song-Chun Zhu |
| 2019 | SparseBNN: Joint Algorithm/Hardware Optimization to Exploit Structured Sparsity in Binary Neural Network. Xin He, Liu Ke, Xuan Zhang |
| 2019 | Speculative Dataflow Circuits. Lana Josipovic, Andrea Guerrieri, Paolo Ienne |
| 2019 | Speedy: An Accelerator for Sparse Convolutional Neural Networks on FPGAs. Liqiang Lu, Yun Liang, Ruirui Huang, Wei Lin, Xiaoyuan Cui, Jiansong Zhang |
| 2019 | Stop Crying Over Your Cache Miss Rate: Handling Efficiently Thousands of Outstanding Misses in FPGAs. Mikhail Asiatici, Paolo Ienne |
| 2019 | Storage Mirroring for Bare-Metal Systems on FPGA Devices. Dan Cristian Turicu, Octavian Cret, Lucia Vacariu |
| 2019 | Substream-Centric Maximum Matchings on FPGA. Maciej Besta, Marc Fischer, Tal Ben-Nun, Johannes de Fine Licht, Torsten Hoefler |
| 2019 | SwitchAgg: A Further Step Towards In-Network Computation. Fan Yang, Zhan Wang, Xiaoxiao Ma, Guojun Yuan, Xuejun An |
| 2019 | Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer |
| 2019 | Temporal Thermal Covert Channels in Cloud FPGAs. Shanquan Tian, Jakub Szefer |
| 2019 | The Network Management Unit (NMU): Securing Network Access for Direct-Connected FPGAs. Daniel Rozhko, Paul Chow |
| 2019 | The P4->NetFPGA Workflow for Line-Rate Packet Processing. Stephen Ibanez, Gordon J. Brebner, Nick McKeown, Noa Zilberman |
| 2019 | Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA. Cheng Fu, Shilin Zhu, Hao Su, Ching-En Lee, Jishen Zhao |
| 2019 | Transistor-Level Optimization Methodology for GRM FPGA Interconnect Circuits. Zhengjie Li, Yuanlong Xiao, Yufan Zhang, Yunbing Pang, Jian Wang, Jinmei Lai |
| 2019 | Unleashing the Power of Soft Logic for Convolutional Neural Network Acceleration via Product Quantization. Jialiang Zhang, Jing Li |
| 2019 | Versal: The Xilinx Adaptive Compute Acceleration Platform (ACAP). Kees A. Vissers |
| 2019 | Visual System Integrator: Invited Tutorial. Sandeep Dutta, Adnan Yunus, Artem Marisov, Matt Menezes, Somayeh Rahimipour |
| 2019 | XFER: A Novel Design to Achieve Super-Linear Performance on Multiple FPGAs for Real-Time AI. Weiwen Jiang, Xinyi Zhang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, Yiyu Shi, Jingtong Hu |
| 2019 | Xilinx Adaptive Compute Acceleration Platform: Versal Brian Gaide, Dinesh Gaitonde, Chirag Ravishankar, Trevor Bauer |