Keysight Technologies, Inc., a leading technology company that helps enterprises, service providers and governments accelerate innovation to connect and secure the world, announced PathWave Waveform Analytics, an edge-to-cloud computing application that improves anomaly detection and reduces data storage costs in pre-silicon validation using machine learning algorithms.
The automotive, IoT and mobile devices markets are growing rapidly. These markets need to leverage design thinking and innovative technology to enable semiconductor design engineers to quickly develop products that are robust, reliable and secure against malicious intrusions while reducing power consumption.
Keysight's PathWave Waveform Analytics is an advanced analytics software solution that includes a new data compression technology that enables long-duration waveform compression, high resolution playback and analysis exceeding several terabytes of data. Built-in machine learning improves the discovery of voltage and current anomalies, as well as transient trends captured by the waveforms.
Keysight's PathWave Waveform Analytics addresses challenges currently faced by semiconductor designers with the following key features and benefits:
- Shortens analysis time in pre-silicon validation with patented machine learning algorithms that identify anomalies and outliers
- Reduces overall project costs by debugging in pre-silicon, which saves time in the costly post-silicon validation phase
- Improves design reliability with pre-and post-processing algorithms that accurately detect voltage and current spikes on power and signal waveforms