Nouveauté

The Art of Performance-Driven Programming: A Comprehensive Guide to Writing Efficient C++ Code for Modern Hardware Architectures

Par : Aarav Joshi
Actuellement indisponible
Cet article est actuellement indisponible, il ne peut pas être commandé sur notre site pour le moment. Nous vous invitons à vous inscrire à l'alerte disponibilité, vous recevrez un e-mail dès que cet ouvrage sera à nouveau disponible.
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub est :
  • Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
  • Compatible avec une lecture sur liseuses Vivlio
  • Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
Logo Vivlio, qui est-ce ?

Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement

Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
C'est si simple ! Lisez votre ebook avec l'app Vivlio sur votre tablette, mobile ou ordinateur :
Google PlayApp Store
  • FormatePub
  • ISBN8227758590
  • EAN9798227758590
  • Date de parution27/05/2025
  • Protection num.pas de protection
  • Infos supplémentairesepub
  • ÉditeurBig Dog Books, LLC

Résumé

The Art of Performance-Driven Programming: A Comprehensive Guide to Writing Efficient C++ Code for Modern Hardware Architectures is the definitive resource for advanced programmers seeking to master the intricate art of high-performance C++ development. This comprehensive guide bridges the gap between theoretical computer science and practical optimization techniques, providing readers with deep insights into modern hardware architectures and compiler technologies.
The book covers twelve essential chapters spanning from foundational performance engineering principles to cutting-edge optimization strategies for emerging technologies. Readers will explore memory hierarchy optimization, cache-friendly programming patterns, advanced compiler optimization techniques, and parallel programming paradigms. Each chapter includes detailed explanations of hardware-software interactions, real-world case studies, and practical C++ examples that demonstrate optimization principles in action.
Written for experienced developers, system architects, and performance engineers, this book addresses critical topics including NUMA-aware programming, lock-free data structures, vectorization techniques, and domain-specific optimizations for HPC, real-time systems, and cloud-native applications. The comprehensive appendices provide invaluable reference materials including optimization checklists, compiler flag references, and profiling tool comparisons.
Whether you're optimizing financial trading systems, game engines, or scientific computing applications, this book equips you with the knowledge and tools necessary to extract maximum performance from modern hardware while maintaining code quality and maintainability.
The Art of Performance-Driven Programming: A Comprehensive Guide to Writing Efficient C++ Code for Modern Hardware Architectures is the definitive resource for advanced programmers seeking to master the intricate art of high-performance C++ development. This comprehensive guide bridges the gap between theoretical computer science and practical optimization techniques, providing readers with deep insights into modern hardware architectures and compiler technologies.
The book covers twelve essential chapters spanning from foundational performance engineering principles to cutting-edge optimization strategies for emerging technologies. Readers will explore memory hierarchy optimization, cache-friendly programming patterns, advanced compiler optimization techniques, and parallel programming paradigms. Each chapter includes detailed explanations of hardware-software interactions, real-world case studies, and practical C++ examples that demonstrate optimization principles in action.
Written for experienced developers, system architects, and performance engineers, this book addresses critical topics including NUMA-aware programming, lock-free data structures, vectorization techniques, and domain-specific optimizations for HPC, real-time systems, and cloud-native applications. The comprehensive appendices provide invaluable reference materials including optimization checklists, compiler flag references, and profiling tool comparisons.
Whether you're optimizing financial trading systems, game engines, or scientific computing applications, this book equips you with the knowledge and tools necessary to extract maximum performance from modern hardware while maintaining code quality and maintainability.