Google Summer of Code 2025: Performance Optimization and Profiling of MLPCpp in SU2

Project Overview

As part of Google Summer of Code 2025, I worked on enhancing the MLPCpp module in SU2, the open-source CFD framework. My contributions focused on:

• Integrating the Tracy profiler for low-overhead performance analysis.
• Optimizing variable mapping with hash maps to reduce runtime overhead.
• Refactoring neural network evaluation code, achieving a 1.3× speedup in tests.
• Further details, including implementation notes, benchmarks, and future work, are available in my full project summary