Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs

21 October 2019

Papers citing "Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs"

5 / 5 papers shown

Title
Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design Jian Meng Yuan Liao Anupreetham Anupreetham Ahmed Hassan Shixing Yu Han-Sok Suh Xiaofeng Hu Jae-sun Seo MQ 49 1 0 02 May 2024
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation Stylianos I. Venieris Javier Fernandez-Marques Nicholas D. Lane 24 11 0 09 Mar 2021
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference Erwei Wang James J. Davis P. Cheung G. Constantinides MQ 9 41 0 24 Oct 2019
Focused Quantization for Sparse CNNs Yiren Zhao Xitong Gao Daniel Bates Robert D. Mullins Chengzhong Xu MQ 17 26 0 07 Mar 2019
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 337 1,049 0 10 Feb 2017