A common use case for high-level synthesis (HLS) is taking 3rd party generated or legacy C/C++ algorithms and converting the algorithm to a hardware implementation using an HLS compiler. This can ...
This project uses machine learning and reinforcement learning to improve 5G handover decisions. Implemented in both Kaggle (Python) and MATLAB, it analyzes handover outcomes, trains a DQN agent, and ...
Code generation? Piece of cake! OpEn generates parametric optimizer modules in Rust - it's blazingly fast - it's safe - it can run on embedded devices. You can use the MATLAB or Python interface of ...
[See Speed MATLAB by optimizing memory access for tips on optimizing memory-bound code.] MATLAB is great tool for algorithm development. It provides a simple programming environment with an extensive ...
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