Accelerating HPC Performance Modeling Via Diffusion-Based Synthetic Data Generation
Machine learning-based performance modeling is increasingly used to guide compiler optimizations and autotuning of performance-critical applications. However, constructing largescale, representative training datasets remains a fundamental challenge due to the high cost of empirical profiling and limited generalizabilit...