Congratulations to Prof. Jason Cong and Dr. Guangyu Sun's group for the paper entitled "Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks: An Analytical Approach based on Roofline Model" was accepted by FPGA 2015.
Paper Information
Chen Zhang, Peng Li, Guangyu Sun, Yijin Guan, Bingjun Xiao, and Jason Cong, "Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks: An Analytical Approach based on Roofline Model"
About FPGA
The ACM/SIGDA International Symposium on Field-Programmable Gate Arrays is the premier conference for presentation of advances in all areas related to FPGA technology. For FPGA 2015, we are soliciting original submissions describing novel research and developments in the following (and related) areas of interest: FPGA Architecture, FPGA Circuit Design, CAD for FPGAs, High-Level Abstractions and Tools for FPGAs, FPGA-Based and FPGA-like Computing Engines, Applications and Design Studies.
weibo