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Publication search results
found 65 matches
- 2023
- Stefan Abi-Karam, Cong Hao:
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization. FPL 2023: 212-218 - Shaden M. Alismail, Dirk Koch:
Efficient Resource Scheduling for Runtime Reconfigurable Systems on FPGAs. FPL 2023: 123-129 - 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: 283-287 - Andrew Boutros, Stephen More, Vaughn Betz:
A Whole New World: How to Architect Beyond-FPGA Reconfigurable Acceleration Devices? FPL 2023: 265-270 - 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: 72-78 - Paul Chen, Pavan Manjunath, Sasindu Wijeratne, Bingyi Zhang, Viktor K. Prasanna:
Exploiting On-Chip Heterogeneity of Versal Architecture for GNN Inference Acceleration. FPL 2023: 219-227 - 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: 228-234 - Hanning Chen, Ali Zakeri, Fei Wen, Hamza Errahmouni Barkam, Mohsen Imani:
HyperGRAF: Hyperdimensional Graph-Based Reasoning Acceleration on FPGA. FPL 2023: 34-41 - Ruiqi Chen, Haoyang Zhang, Jun Yu, Kun Wang:
FPGA Accelerating Multi-Source Transfer Learning with GAT for Bioactivities of Ligands Targeting Orphan G Protein-Coupled Receptors. FPL 2023: 317-321 - Hayden Cook, Zephram Tripp, Brad L. Hutchings, Jeffrey Goeders:
Improving the Reliability of FPGA CRO PUFs. FPL 2023: 311-316 - Hans Jakob Damsgaard, Aleksandr Ometov, Jari Nurmi:
Towards Coarse-Grained Reconfigurable Approximate Computing with CGRAgen. FPL 2023: 361-362 - Haishuang Fan, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan:
Co-ViSu: a Video Super-Resolution Accelerator Exploiting Codec Information Reuse. FPL 2023: 93-100 - Rémi Garcia, Anastasia Volkova:
Multiple Constant Multiplication: From Target Constants to Optimized Pipelined Adder Graphs. FPL 2023: 137-143 - Ce Guo, Diego Cupello, Wayne Luk, Joshua M. Levine, Alexander Warren, Peter Brookes:
FPGA-Accelerated Causal Discovery with Conditional Independence Test Prioritization. FPL 2023: 182-188 - Xiaorang Guo, Martin Schulz:
A Scalable and Cross-Technology Quantum Control Processor. FPL 2023: 353-354 - Tobias Hahn, Stefan Wildermann, Jürgen Teich:
SPEAR-JSON: Selective Parsing of JSON to Enable Accelerated Stream Processing on FPGAs. FPL 2023: 189-196 - Yuntao Han, Qiang Liu:
HPTA: A High Performance Transformer Accelerator Based on FPGA. FPL 2023: 27-33 - 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: 294-298 - Veronia Iskandar, Mohamed A. Abd El Ghany, Diana Goehringer:
Performance Estimation and Prototyping of Reconfigurable Near-Memory Computing Systems. FPL 2023: 357-358 - Felix Jentzsch:
Hardware-Aware AutoML for Exploration of Custom FPGA Accelerators for RadioML. FPL 2023: 359-360 - 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: 327-332 - 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: 109-115 - Vaibhav Kashera, Siddhant Jain, Abhishek Banerjee, Suresh Purini:
Building Low-Latency Order Books with Hybrid Binary-Linear Search Data Structures on FPGAs. FPL 2023: 299-304 - Shashwat Khandelwal, Shanker Shreejith:
Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN. FPL 2023: 235-241 - Kimia Talaei Khoozani, Arash Ahmadian Dehkordi, Vaughn Betz:
Titan 2.0: Enabling Open-Source CAD Evaluation with a Modern Architecture Capture. FPL 2023: 57-64 - Justin Knapheide, Philipp Kreowsky, Benno Stabernack:
Demonstrating NADA: A Workflow for Distributed CNN Training on FPGA Clusters. FPL 2023: 363 - Jonas Krautter, Paul R. Genssler, Gloria Sepanta, Hussam Amrouch, Mehdi B. Tahoori:
Stress-Resiliency of AI Implementations on FPGAs. FPL 2023: 333-338 - Philipp Kreowsky, Justin Knapheide, Benno Stabernack:
Challenges Using FPGA Clusters for Distributed CNN Training. FPL 2023: 347-348 - Martin Langhammer, George A. Constantinides:
eGPU: A 750 MHz Class Soft GPGPU for FPGA. FPL 2023: 277-282 - Joshua Lant, Emmanouil Skordalakis, Kyriakos Paraskevas, William B. Toms, Mikel Luján, John Goodacre:
DiAD - Distributed Acceleration for Datacenter FPGAs. FPL 2023: 166-173
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