The presentation provides an overview of Ngene’s solutions for integrating deep learning and high-performance computing into LabVIEW applications.

 

It introduces DeepLTK, a deep learning toolkit that enables LabVIEW users to build, train, and deploy neural networks natively.

 

DeepLTK supports a wide range of applications including waveform analysis, computer vision, and real-time inference on embedded targets (FPGAs).

 

The session will also cover CuLab, a standalone GPU computing library, which will show how to achieve more than 100x performance improvement with help of GPUs.

The toolkit includes over 150 functions for accelerating many computationally intensive tasks such as real-time RF signal processing and computer vision.

 

The presentation will include comparison to other frameworks and Python-based approaches, highlighting the performance and integration advantages of Ngene’s solutions.