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Five papers have been nominated for the best paper award in 2 categories. These papers appear throughout the conference program, and are listed below along with their session information. The best paper award will be announced at the Dinner Banquet on Day 2, Sep 7 2023.
Stamatis Vassiliadis Award
⭐BEST PAPER WINNER Co-ViSu: a Video Super-Resolution Accelerator Exploiting Codec Information Reuse
Haishuang Fan (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Jiangya Wu (Institute of Computing Technology, Chinese Academy of Sciences), Wenyan Lu (Institute of Computing Technology, Chinese Academy of Sciences), Xiaowei Li (Institute of Computing Technology, Chinese Academy of Sciences), Guihai Yan (Institute of Computing Technology, Chinese Academy of Sciences)
Thursday Sep 7 09:50-10:30 Session 4 : Applications
BEST PAPER NOMINEE HPTA: A High Performance Transformer Accelerator Based on FPGA
Yuntao Han (Tianjin University, China), Qiang Liu (Tianjin University, China)
Wednesday Sep 6 11:10-12:30 Session 2 : Hardware for Deep Learning
BEST PAPER NOMINEE HyperGRAF: Hyperdimensional Graph-based Reasoning Acceleration on FPGA
Hanning Chen (University of California, Irvine, USA), Ali Zakeri (University of California, Irvine, USA), Fei Wen (Texas A&M University, USA), Hamza Errahmouni Barkam (University of California, Irvine, USA), Mohsen Imani (University of California, Irvine, USA)
Wednesday Sep 6 11:10-12:30 Session 2 : Hardware for Deep Learning
Michal Servit Award
⭐BEST PAPER WINNER Compiler Discovered Dynamic Scheduling of Irregular Code in High-Level Synthesis
Robert Szafarczyk (University of Glasgow, UK), Syed Waqar Nabi (University of Glasgow, UK), Wim Vanderbauwhede (University of Glasgow, UK)
Wednesday Sep 6 09:40-10:40 Session 1 : Tools I
BEST PAPER NOMINEE Titan 2.0: Enabling Open-Source CAD Evaluation with a Modern Architecture Capture
Kimia Talaei Khoozani (University of Toronto, Canada), Arash Ahmadian Dehkordi (University of Toronto, Canada), Vaughn Betz (University of Toronto, Canada)
Wednesday Sep 6 14:20-16:00 Session 3 : Tools II
⭐FPL COMMUNITY AWARD WINNER
⭐FPL COMMUNITY AWARD WINNER
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization
Stefan Abi-Karam (Georgia Institute of Technology; Georgia Tech Research Institute), Cong Hao (Georgia Institute of Technology)
-- Congratulations to all the authors of the winning papers!!! 👏👏👏 --
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