- We’ll review the implementation of the LSTM neural network on Xilinx Zynq MPSoC in SDSoC
- We’ll start a discussion on the organization of the III FPGA Symposium
Today we have run our first full implementation of LSTM neural network on Xilinx Zynq MPSoC ZCU102 platform!
There are 8 hardware accelerators to help the ARM performing successive stages of the network evaluation.
We have achieved over 20x acceleration comparing to pure-software implementation.
The project has been entirely developed in SDSoC environment.
Great news! We have just received the powerful ZynqMPSOC powered board.
The module will replace in the future the current JPET Controller and enable much more advanced real-time processing.
We have just received a pack of 25 licenses for SDSoC Software from Xilinx!
It gives us a great chance to explore high-end technology and getting the most out of our hardware. Especially when a powerful Zynq Z706 board is arriving soon to our hardware library!