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C and C++ Preprocessing Optimization

3 posts · Mar 2013 – Oct 2023

What this trail covers

Meta's engineering blog posts have evolved to detail the development and open-sourcing of specialized tools that significantly improve build times for large C++ codebases. This includes the creation of 'warp', a fast C and C++ preprocessor, which replaces conventional preprocessors to achieve substantial end-to-end build speed improvements (10-40%). Warp's design leverages modern compiler optimizations and a componentized, range-based algorithmic approach, enabling rapid experimentation and perf

All Meta trails
  1. 5 Things you didn’t know about Buck2This post introduces Buck2, the successor to Buck1, highlighting its implementation in Rust for performance and concurrency. Key features include remote execution to avoid intermediate output downloads, an extensive system of 11 internal file path types for enhanced type safety, and a language-agnostic rule system defined in Starlark. It also introduces BXL (Buck2 Extension Language) for interacting with the build graph and defining custom build actions. Buck2 aims to complete builds approximately 2x faster than Buck1.
  2. Under the Hood: warp, a fast C and C++ preprocessorIntroduced and open-sourced 'warp', a fast C and C++ preprocessor. Replacing gcc's preprocessor with 'warp' resulted in 10-40% improvements in end-to-end build times for complex projects. 'warp' utilizes a ranges-and-algorithms style for modularity and rapid experimentation, caches opened files to accelerate builds, and leverages modern compiler optimizations and profiling for performance tuning.
  3. Under the Hood: Building and open-sourcing flintThis post introduces 'flint', a new token-oriented C++ linter developed in the D language. It details the rationale for building a custom linter (performance, C++11 support, organizational ethos), the token-oriented design, the translation from C++ to D highlighting D's compile-time introspection and code generation capabilities, and the performance benefits observed. It also lists and describes 19 specific lint checks implemented in flint.
  4. Three Optimization Tips for C++This post provides three C++ optimization tips: 1. Strength Reduction: Replacing expensive operations (like division) with cheaper ones (like bit shifts or comparisons) and reformulating algorithms to use comparisons over divisions. 2. Minimize Array Writes: Reducing writes to memory through pointers, as they are more costly than register operations due to cache line granularity. An example shows an optimized integer-to-string conversion that avoids in-place reversal. 3. One Last Pass: Further optimizing integer-to-string conversion by using a lookup table for pairs of digits and a more efficient search for the number of digits, leading to significant performance improvements.