Isbn: 9798195672515 - c++ data-oriented design: cache-coherent data layouts, structure of arrays, memory access pattern optimization, and performance engineering for cpu-bound systems. (3 resultados)

Paperback. Condición: new. Paperback. Stop 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Stop 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…