This demo is a proof of concept using simple training dataset without multi-line sequence for now. The demo will discuss the internal of the neural machine translation engine, then showing the actual conversion process and post processing.
This video demonstrates an open source Pseudogen tool which LeWiz team has extended its functionality to also generate pseudocode for C-source code. Its original release on Github was for Python. The tool uses Statistical Machine Translation method to convert C to pseudo code. It applies tree-to-string and phrase-based machine learning technique to do the conversion. Pseudo code is easier to understand as it's in natural language such as English. This will help developers to tune algorithm, debug easier. Pseudo code is also a form of specification for longer term maintenance purposes.
This demo is about the converter from Matlab to C-language. It's the 2nd video of LeWiz's Matlab-to-Verilog converter series. With Verilog source available hardware acceleration of the code using FPGA or ASIC can be done. This tool uses Neural Machine Translation method to convert from source code in Matlab to C. NMT uses sequence-to-sequence machine learning to do the conversion. We will discuss the internal of the tool and show a demo of the conversion using a sample of Kalman Filter Matlab code.
This demo is about conversion of C source code to Verilog. It is the 1st in a series of videos that we will discuss about code conversion & specification. Other links can be found here.
C code converted to Verilog can be hardware accelerated using FPGA or ASIC hardware. The same code would run on FPGA with more performance, lower latency, less power, and may be more secure. 3 tools from open source and commercial were tested. We will discuss the observations we found using different code from small to more complex LDPC error correction code. The video also discusses the resulting code structure and give a demo of an open source tool.