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Awesome GitHub RepositoriesFunction Inlining
Replacing function calls with the function body to eliminate prologue and epilogue overhead.
Distinct from Virtual Call Optimizations: Focuses on the elimination of call-return overhead via inlining, whereas virtual call optimizations target branch target mispredictions in polymorphism.
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Awesome Function Inlining GitHub Repositories
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- dendibakh/perf-ninja
dendibakh/perf-ninja
3,754Auf GitHub ansehenperf-ninja is a collection of educational resources and curricula focused on CPU architecture, memory hierarchies, SIMD programming, and low-level performance engineering. It provides instructional material and practical labs for identifying and fixing CPU bottlenecks, such as cache misses and branch mispredictions. The project differentiates itself through specialized training in hardware-level optimizations, including the use of compiler intrinsics for SIMD vectorization and the implementation of branchless predicate execution to eliminate pipeline stalls. It also covers advanced binary-lev
Performance Labs eliminates function prologue and epilogue costs by replacing calls with function bodies to enable further optimizations.
C++
