The SISLAB team in LSI Design Contest 2018.
Design challenge: "Neural Network (Backpropagation)"
The goals of project is learning about neural network, the flow from algorithm to hardware architecture, having an result.
- Huy-Hung Ho
- Van-Thuat Nguyen
- Xuan-Thuan Nguyen
- Van-Dung Nguyen
- Study about Supervised learning of Neural Network (using Backpropagation) algorithm (find out at less a optimization).
- Software simulation by C/C++ (or an other) language.
- Hardware simulation by VHDL language.
- Synthesis in FPGA. (if enough time)
8th Oct - 7th Nov: (31 days)
- Studying algorithm
- Collecting the state-of-the-art papers (keyword: hardware backpropagation neural network)
- Try to find the optimization
- Sofware simulation (matlab, C/C++, speeding Matlab code)
8th Nov - 10th Dec: (34 days)
- Trainning VHDL tools (ubuntu, vsim, git)
- Studying FPGA synthesis and Synopsys tools (Synphony Model™ Compiler, Synplify Pro, Design Compiler)
- Architecture demo of ANN, writing VHDL code a part
- Writing VHDL for full ANN
11th Doc - 7th Jan: (28 days)
- Writing VHDL
8th Jan - 30th Jan: (23 days)
- Verification, testing in FPGA
- Start time : 8th Oct, 2017
- Deadline : 31st Jan, 2018
- Timing : 116 days
- Do the exam : 11th Dec - 7th Jan