Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks

30 September 2016

Papers citing "Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks"

7 / 7 papers shown

Title
Reconfigurable co-processor architecture with limited numerical precision to accelerate deep convolutional neural networks Sasindu Wijeratne Sandaruwan Jayaweera Mahesh Dananjaya A. Pasqual 29 6 0 21 Aug 2021
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices F. Fahim B. Hawks C. Herwig J. Hirschauer S. Jindariani ... J. Ngadiuba Miaoyuan Liu Duc Hoang E. Kreinar Zhenbin Wu 37 129 0 09 Mar 2021
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation Hanchen Ye Xiaofan Zhang Zhize Huang Gengsheng Chen Deming Chen 46 61 0 08 Apr 2020
LeFlow: Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks D. H. Noronha B. Salehpour Steve Wilton 14 51 0 14 Jul 2018
Accelerating CNN inference on FPGAs: A Survey K. Abdelouahab Maxime Pelcat Jocelyn Serot F. Berry AI4CE 30 147 0 26 May 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions Stylianos I. Venieris Alexandros Kouris C. Bouganis 19 184 0 15 Mar 2018
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform Chaim Baskin Natan Liss Evgenii Zheltonozhskii A. Bronstein A. Mendelson GNN MQ 45 35 0 31 Jul 2017