Flame Graph

Flame graphs are visual representations of profiling data, primarily used to analyze software performance but increasingly applied to other complex systems like combustion processes. Current research focuses on improving the accuracy and efficiency of flame graph generation and analysis, including developing novel algorithms like physics-informed neural networks (PINNs) for modeling complex phenomena such as flame propagation and employing machine learning techniques to optimize data representation and prediction within flamelet models. These advancements enhance the ability to identify performance bottlenecks in software and to accurately model and predict the behavior of combustion systems, leading to improvements in software efficiency and more precise control of combustion processes in various applications.