Over the last few years, the engineers at the company have invested both their time and sleepless nights in formulating a process for the development of Machine learning algorithms that will satisfy real-time constraints with minimal RAM usage. This is quite a tall task as per default, that would force one to do their development directly in C language. Although that seems like the right choice, the downside is the direct correlation of the debugging time with algorithm complexity.
Such a time could have been rather used in optimizing the algorithm within the MATLAB environment which has excellent tools for the analysis, plotting and debugging. So it was decided to rather learn the Code generation process with the hope that future algorithm could be designed in a similar fashion without the hassle of the compiler-specific run-time issues.
The development of this machine learning algorithm would eventually be implemented in a 32bit, 160Mhz speed, 260KB RAM microcontroller. Although it is a huge step-up from an 8bit Arduino, it's a far cry from the Raspberry Pi 1Ghz 1GB RAM microcomputer. The engineers felt that succumbing to the pressure of complex algorithm optimization for the sake of the faster computer would defeat the culture of the company of the "low-cost, high-impact" which forces innovation to be at the core of every product or service we provide.
So given a successful implementation last week on the above-mentioned microcontroller, the following discoveries have been highlighted as pointers to successful Code generation:
- Always generate your algorithm with comments included, the Code generation allows the comments to remain in the final source code, allowing for faster debugging.
- Ensure that you have test data that has 100% script coverage. This ensures that the code generation can be compared in the event you want to produce a MEX equivalent.
- Assign and initialize your variables before using them. This is crucial as it will prevent the code generation from optimizing your code beyond its intended purpose.
- Unless specified, all variables are treated as double-precision "floats". This is 64bit (or 8 bytes) whereby an 8bit integer could have sufficed (such as flags).
Although there are many other factors ensuring a trouble-free Matlab code generation process, I hope you are intrigued about trying this process (provided you have all the necessary toolboxes) and accelerating your algorithm development and hardware integration.
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