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Kniha GPU Hacking & Parallel Programming Masterclass Takehiro Kanegi

GPU Hacking & Parallel Programming Masterclass

Reverse Engineering NVIDIA & AMD Architectures with C++ and Python: Harness GPU Power for AI, Game Engines, and Cybersecurity

Autor: Takehiro Kanegi, Danny Munrow
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Independently published
Dostupnosť: Skladom u dodávateľa
Odosielame za 9-15 dní
34.34 €
Reactive PublishingModern computing runs on the GPU, but very few people truly understand how it wor...

Informácie o knihe

Autor
Takehiro Kanegi, Danny Munrow
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2025
Stránok
646
EAN
9798272610027
Enbook ID
50588877
Vydavateľ
Independently published
Hmotnosť
1105
Rozmery
178 x 254 x 33

Kompletný popis

Reactive Publishing

Modern computing runs on the GPU, but very few people truly understand how it works.
In GPU Hacking & Parallel Programming Masterclass, Takehiro Kanegi shows you how to think like the engineers behind NVIDIA and AMD's most powerful architectures. You'll learn how to reverse engineer kernels, analyze instruction patterns, and write high-performance parallel code using C++, Python, CUDA, and OpenCL.

This isn't a theoretical guide. It's a practical deep dive for developers who want to know what's really happening under the hood - how graphics cards process data, how AI models use tensor cores, and how game engines squeeze every last frame out of hardware.

Inside you'll explore:

  • The inner logic of GPU pipelines and memory hierarchies

  • Techniques for decoding compiled kernels and optimizing threads

  • How to analyze performance bottlenecks in real AI and rendering code

  • Real-world examples that bridge security, AI, and game development

Takehiro's clear, direct teaching style turns intimidating low-level topics into something you can actually use, whether you're a hacker, researcher, or just someone who loves understanding how things really work.

If you've ever wondered what your GPU is really doing, this is where you find out.

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