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Home > Computing and Information Technology > Computer programming / software engineering > Gpu Architecture in Action: A Comprehensive Guide to Modern Graphics Processing and Compute Acceleration(Cloud Computing, Networking and AI Framework)
Gpu Architecture in Action: A Comprehensive Guide to Modern Graphics Processing and Compute Acceleration(Cloud Computing, Networking and AI Framework)

Gpu Architecture in Action: A Comprehensive Guide to Modern Graphics Processing and Compute Acceleration(Cloud Computing, Networking and AI Framework)


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About the Book

What if you could truly understand the brains behind today's most powerful visual and compute systems? What if the GPU-something most people think of only in the context of gaming-was revealed to be the silent powerhouse driving breakthroughs in AI, deep learning, high-performance computing, and real-time simulation? This book is here to challenge you, engage you, and make you think. Do you really know what's happening under the hood when billions of transistors work in harmony to render, process, and accelerate? Have you ever wondered why some GPU workloads fly while others crawl? Why certain architectures dominate AI inference, or how GPUs are shaping the path to exascale computing? Inside, you'll uncover a clear, deeply-researched journey through the modern GPU landscape-from the way shaders and pipelines handle rendering to how parallel processing cores chew through massive datasets at lightning speed. We'll explore GPU integration with CPUs, FPGAs, and AI accelerators, and dig into the evolving ecosystems like CUDA, Vulkan, and OpenCL that make GPU magic possible. And here's where it gets exciting-you'll not only learn what's happening now, but you'll get a glimpse into the future: neuromorphic GPU concepts, quantum-assisted acceleration, chiplet-based architectures, and next-generation interconnects like CXL and UCIe. This is not just theory-it's a call to truly understand the architectural and software foundations that define performance, scalability, and innovation. If you've ever asked yourself questions like: Why do GPUs outperform CPUs for certain workloads? How does the memory subsystem impact AI model training speed? What makes one GPU architecture more "future-proof" than another? Where are GPUs headed in the next decade, and how can I prepare? ...then this book was written with you in mind. Whether you're a developer, researcher, engineer, or simply a curious mind hungry to understand the technology shaping our digital world, you will walk away from these pages seeing GPUs not just as hardware-but as the engine of modern computing innovation. So here's the challenge: don't just use GPUs-master them. Learn to think like a GPU architect, to see the opportunities others miss, and to push your projects further than you thought possible.


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Product Details
  • ISBN-13: 9798298132879
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 279 mm
  • No of Pages: 256
  • Series Title: Cloud Computing, Networking and AI Framework
  • Sub Title: A Comprehensive Guide to Modern Graphics Processing and Compute Acceleration
  • Width: 216 mm
  • ISBN-10: 8298132874
  • Publisher Date: 14 Aug 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 14 mm
  • Weight: 652 gr


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