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Awesome GitHub RepositoriesData Structure Packing
Reducing memory bandwidth usage by eliminating compiler padding and optimizing data type sizes.
Distinct from In-Memory Data Structures: Candidates focus on file formats or generic collections, not the memory layout optimization of structs
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Awesome Data Structure Packing GitHub Repositories
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- dendibakh/perf-ninja
dendibakh/perf-ninja
3,754Ver en GitHubperf-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
Decreases memory bandwidth usage by eliminating compiler padding and downsizing data types to shrink structure sizes.
C++
