Optimizing FPGA-based accelerator design for deep convolutional neural networks. In: Proceedings of ACM/SIGDA International Symposium on Field-programmable Gate Arrays, 2015. 161–170 43 Zhang C, Sun G, Fang Z,
Platforms.ACM Trans. Reconfigurable Technol. Syst., 2019. [9]J. Fowers, K. Ovtcharov, K. Strauss, E. S. Chung, and G. Stitt. A high memory bandwidthfpga accelerator for sparse matrix-vector multiplication.In FCCM, 2014. [10]Q. Gautier, A. Althoff, Pingfan Meng, and R. Kastner. Spe...
https://github.com/Haleski47/RTL-Implementation-of-Two-Layer-CNN https://github.com/Di5h3z/ECE-564-Convolutional-Neural-Network-Accelerator 具有详细设计的两层 CNN 详细的设计文档: https://github.com/Haleski47/RTL-Implementation-of-Two-Layer-CNN/blob/master/report/Apar%20Bansal%20ECE564%20Pro...
SCHOUGAARD J H, LARSEN D E. A scalable and efficient convolutional neural network accelerator usin...
We then investigate various accelerator architectures based on FPGAs and design automation frameworks. Finally, we discuss the device's strengths and weaknesses over other types of hardware platforms and conclude with future research directions.
[7] Li Huimin,Fan Xitian,Jiao Li,et al.A high performance FPGA-based accelerator for large-scale convolutional neural networks[C].Field Programmable Logic and Applications(FPL),2016 26th International Conference on.IEEE,2016:1-9. [8] NURVITADHI E,VENKATESH G,SIM J,et al.Can FPGAs beat ...
在制约 FPGA 发展的众多因素中,最为关 键的便是电子设计自动化(Electronic Design Automation, EDA)技术,作为 FPGA EDA 流程中的关键环节,布局和布线 技术的研究对于 FPGA 的重要性不言而喻 . 本文综述了面向 FPGA 的布局和布线技术,包括基于划分的布局,基于启发 式的布局,基于解析式的布局,FPGA 串行布线和 ...
Using hw/sw co-design we intend to fully port the VO functionality of our visual SLAM application into the embedded domain. As this localization algorithm relies on heavy matrix multiplication computations, it is focused on a matrix multiplication accelerator devised as a systolic array (SA) co-...
Test-Chip eFPGA Accelerator Program: The Test-Chip eFPGA Accelerator program gives companies the ability to incorporate eFPGA IP into their ASICs and SoCs using Achronix’s silicon-proven, preconfigured IP and supporting ACE design tools. Companies across many application segments and geographies want...
前几天Jason Cong来做报告还给大家秀了Optimizing FPGA-based Accelerator Design for Deep Convolutional ...