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 clarity
- Memory Systems Decoded - Master the complex hierarchy of caches, buffers, and high-bandwidth interfaces that define GPU performance
- Parallel Processing Architectures - Understand SIMT execution models, warp scheduling, and the thread management systems that enable massive parallelism
- AI Acceleration Hardware - Explore tensor cores, matrix processing units, and specialized dataflow architectures powering modern AI workloads
- Advanced Optimization Techniques - Learn architectural approaches to memory coalescing, occupancy management, and throughput maximization
ENGINEERED FOR SERIOUS TECHNICAL PROFESSIONALS:
- Hardware architects designing GPU-adjacent systems
- Graphics engineers optimizing software for GPU hardware
- AI researchers seeking deeper hardware understanding
- Computer engineering educators and advanced students
- Technical leaders architecting GPU-accelerated applications
WHY 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.