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238613028
High-Performance C++ Engineering C++ Data-Oriented Design: Cache-Coherent Data Layouts, Structure of Arrays, Memory Access Pattern Optimization, and
Barang #:
238613028
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- 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.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | May, 2026 |
| Pages | 262 |
| Subgenre | Languages |
| Series title | High-Performance C++ Engineering |
| Edition | 1 |
| Publisher | Amazon Digital Services LLC - Kdp |
| Original languages | English |
| Language | English |
| Edu focus | Engineering |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.69 x 0.55 x 9.61 in (17 x 1.4 x 24.4 cm) |
| Assembled product weight | 0.93 lb (420 grams) |
| Bisac subject heading | Computers |
DESKRIPSI PRODUK
High-Performance C++ Engineering C++ Data-Oriented Design: Cache-Coherent Data Layouts, Structure of Arrays, Memory Access Pattern Optimization, and Perf, (Paperback)
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USD 51
Pesan sekarang dan dapatkan kira-kira pada Jumat, Oktober 23
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