Optimizing Binary Performance with LLVM Link Time Optimization (LTO)
Learn how to break translation unit boundaries using LLVM Link Time Optimization (LTO) to reduce binary size and improve performance through cross-module inlining.
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Learn how to break translation unit boundaries using LLVM Link Time Optimization (LTO) to reduce binary size and improve performance through cross-module inlining.
Learn how to use GCC's __builtin_expect to optimize branch prediction for hot paths, reducing pipeline stalls and improving performance in critical code sections.
Explains why the volatile qualifier is essential for memory‑mapped I/O in embedded C, shows a concrete LED‑toggle example, and gives a practical verification workflow.
Stop treating your C++ files as isolated islands. Learn how LLVM Link Time Optimization (LTO) and ThinLTO break the translation unit barrier to enable global inlining and faster binaries.
Learn when to apply volatile to hardware registers in embedded C, how it interacts with compiler optimizations and multi-core ordering, and how to validate the generated code and target behavior.
Explore how Crystal's type inference engine provides the speed of a compiled language with the clean syntax of Ruby, and learn the trade-offs regarding compilation time.
Learn how to use GCC's Link Time Optimization (LTO) to reduce binary size and improve performance by breaking the isolation between translation units.
volatile forces real loads and stores for hardware registers and ISR-shared flags — but it gives you no atomicity, no ordering, and no thread safety. Here's how to use it correctly and verify the codegen.
Fortran's DO CONCURRENT is the smallest suitable design for data-parallel loops when iterations are independent. This architecture note covers requirements, trust boundaries, locality specifiers, operational checks, failure modes, and when to choose a different design.