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GPU Hacking & Parallel Programming Masterclass
Reverse Engineering NVIDIA & AMD Architectures with C++ and Python: Harness GPU Power for AI, Game Engines, and Cybersecurity
Inglese
90 b
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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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