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In this blog post, I explore integrating Tracy Profiler with SU2 for my Google Summer of Code project. I detail the setup of Tracy’s client and server, instrumenting functions, and leveraging its low-overhead, real-time visualization to optimize performance in SU2 simulations.
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This post explores how I used gprof, valgrind, and kcachegrind to identify and analyze performance bottlenecks in SU2, focusing on the neural network module. The approach is generalizable to other large C++ projects.
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A step-by-step guide for beginners to set up a modern development environment for contributing to large open-source C++ projects using GitHub, VS Code, GDB, and gprof.
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Week 0 of GSoC: Community Bonding, Setting Up the SU2 Development Environment, and Exploring the Codebase