Modern GPU Architecture: A Comprehensive Blueprint of Graphics and AI Processing Systems

By Gareth Thomas

The definitive reference on GPU architecture-precise, authoritative, and indispensable.

Uncover the engineering brilliance behind today's most powerful processors in this meticulously detailed blueprint of modern GPU systems.

This is not another programming guide. Not a DIY hardware project book. Not a superficial overview.

Modern GPU Architecture delivers what technical professionals truly need: a systematic exploration of how cutting-edge graphics and AI processors are architected from the ground up. Previously titled Designing a GPU in Verilog, this rebranded edition embraces what the book has always been at its core-the authoritative reference on GPU architectural principles.

INSIDE THIS COMPREHENSIVE BLUEPRINT: Complete Graphics Pipeline Analysis - Follow the transformation of data from vertex processing through rasterization to the final pixel output with unprecedented clarityMemory Systems Decoded - Master the complex hierarchy of caches, buffers, and high-bandwidth interfaces that define GPU performanceParallel Processing Architectures - Understand SIMT execution models, warp scheduling, and the thread management systems that enable massive parallelismAI Acceleration Hardware - Explore tensor cores, matrix processing units, and specialized dataflow architectures powering modern AI workloadsAdvanced Optimization Techniques - Learn architectural approaches to memory coalescing, occupancy management, and throughput maximizationENGINEERED FOR SERIOUS TECHNICAL PROFESSIONALS: Hardware architects designing GPU-adjacent systemsGraphics engineers optimizing software for GPU hardwareAI researchers seeking deeper hardware understandingComputer engineering educators and advanced studentsTechnical leaders architecting GPU-accelerated applicationsWHY THIS REBRANDING MATTERS:

The original title suggested a step-by-step Verilog implementation guide-but this was never the book's true purpose. This relaunch corrects expectations, ensuring this valuable resource reaches those who will benefit most: professionals seeking architectural comprehension rather than HDL coding tutorials.

You won't build a GPU from this book. You will gain something more valuable: a profound understanding of the architectural principles that define modern accelerated computing.

• Format: Paperback
• Language: English
• ISBN: B0F9X4T2RJ
• ISBN13: 9798282836660
• Release Date: May 2025
• Publisher: Independently Published
• Length: 580 Pages
• Weight: 2.92 lbs.
• Dimensions: 1.2" x 8.5" x 11.0"