{"product_id":"c-data-oriented-design-cache-coherent-data-layouts-structure-of-arrays-memory-access-pattern-op","title":"C++ Data-Oriented Design: Cache-Coherent Data Layouts, Structure of Arrays, Memory Access Pattern Op","description":"\u003cp\u003e\u003cb\u003eMarke:\u003c\/b\u003e Billie S. Lightner\u003c\/p\u003e\u003cp\u003e\u003cb\u003eVariante:\u003c\/b\u003e Taschenbuch\u003c\/p\u003e\u003cp\u003e\u003cb\u003eEigenschaften:\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eStop Fighting the CPU. Ditch Object-Oriented Bottlenecks and Architect for Pure Hardware Throughput.Modern CPUs are insanely fast, but memory is slow. If you are writing traditional Object-Oriented C++ relying on arrays of pointers, virtual dispatch, and deeply nested objects, you are starving the processor. A single L3 cache miss costs hundreds of clock cycles. C++ Data-Oriented Design is the definitive engineering manual for breaking the OOP habit and structuring your data to perfectly align with the physical realities of the silicon.Whether you are building a custom game engine, a high-frequency trading order book, or a massive particle simulation, this book teaches you how to transform pathological memory access patterns into cache-coherent, vectorized data pipelines. You will learn to measure the true cost of a cache miss using perf and Intel VTune, and then completely re-architect your data layouts for maximum throughput.Inside, you will discover:The Hardware Reality: Understand cache line mechanics, TLB pressure, and why OOP memory layouts betray the CPU's prefetcher.Layout Fundamentals: Master structure packing, hot\/cold data separation, and alignment to maximize useful bytes per cache fetch.Structure of Arrays (SoA) vs. Array of Structures (AoS): Learn exactly when to transition your data models to SoA to unlock massive SIMD throughput and AVX-512 auto-vectorization.Entity Component Systems (ECS): Build a production-grade ECS from scratch, comparing Archetypal storage versus Sparse Sets for data-driven architectures.Pointer Elimination: Eradicate pointer-based trees and linked lists. Implement Flat Arrays, Slot Maps, and Generational Indices for O(1) lookups without heap fragmentation.Concurrent DOD: Defeat false sharing at the cache-line level and design lock-free, per-thread data partitions that scale linearly across 64+ cores.Real-World Application: Step-by-step refactoring guides for transforming Game Engine Scene Graphs and HFT Order Books to data-oriented layouts.THE PERFORMANCE VAULT (Appendix)Built for the systems architect who needs immediate answers, the Appendix provides drop-in reference material:The Cache Line Size Reference: Architecture comparison table for x86-64, ARM, RISC-V, and Embedded targets.The AoS vs. SoA Decision Matrix: Instantly determine the optimal layout for your specific workload characteristics.The Data Layout Audit Checklist: 12 mandatory questions to evaluate the cache efficiency of any production data structure before it ships.Don't let memory latency throttle your application. Align your data with the hardware, master Data-Oriented Design, and squeeze every drop of performance from the silicon.\u003c\/p\u003e","brand":"Billie S. Lightner","offers":[{"title":"Default Title","offer_id":46798669512892,"sku":"B0GZN6WX62","price":86.0,"currency_code":"CHF","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0311\/4699\/9943\/files\/9152b0e145a58ae7693c6c471afbd26ed91de888_BD5899776B.jpg?v=1778768138","url":"https:\/\/techstudio.ch\/products\/c-data-oriented-design-cache-coherent-data-layouts-structure-of-arrays-memory-access-pattern-op","provider":"techstudio.ch","version":"1.0","type":"link"}