TRACE GENERATION

Abstract: a method for trace generation comprises: obtaining input trace data indicative of a sequence of events occurring during execution of a target program on a processor; providing a query input to a trained generative machine learning model, where the query input is based on the input trace data; and processing the query input using the trained generative machine learning model to generate predicted trace data providing a more detailed representation of the sequence of events than is indicated by the input trace data.

Inventor(s): Irenéus Johannes de Jong, Sudhanshu Shekhar Jha

CPC Classification: G06F11/3612 ({by runtime analysis (performance monitoring )})

Search for rejections for patent application number 20250173246