Modern GPU Architecture Second Edition: Volume Two Compute Acceleration, Tensor Cores, and Advanced Systems (GPU Expert Engineering: Mastering Design, Programming, and Optimization)

💡 Note: This book is written for serious engineers and researchers who want rigorous, high-level technical insight. It’s dense, detailed, and assumes prior familiarity with advanced concepts.If you value precision, depth, and professional-grade explanations—you’ll find this book indispensable.Modern GPU Architecture Second Edition — Volume TwoCompute Acceleration, Tensor Cores, and Advanced SystemsModern GPUs have evolved far beyond graphics. They are now the engines that power artificial intelligence, deep learning, and large-scale scientific computing. This volume reveals how that transformation happened—and how every part of the GPU is engineered for massive parallel acceleration.Inside, you’ll explore shader core microarchitecture, warp scheduling, memory hierarchy, tensor and matrix acceleration, systolic arrays, mixed-precision arithmetic, sparsity handling, and multi-GPU interconnects. Each topic is backed by equations, pipeline diagrams, and synthesizable Verilog examples that show how real silicon executes these workloads.What you’ll gain:Architectural mastery: Understand how compute units, tensor cores, and memory subsystems coordinate to sustain trillions of operations per second.Implementation insight: Learn from RTL-level design examples, timing strategies, and scalable datapath structures.Performance intuition: Analyze bottlenecks, throughput, and scheduling behavior using real hardware principles.System-level perspective: See how modern GPUs manage coherence, interconnects, and distributed workloads across multi-die architectures.If Volume One showed you how pixels are rendered, Volume Two shows you how intelligence is computed—how arithmetic becomes architecture and architecture becomes acceleration.Dense, detailed, and unapologetically precise, this is a book for engineers, researchers, and developers who want to understand GPUs not as black boxes, but as the living machinery of computation itself.⚠️ This isn’t entertainment. It’s engineering.If that excites you, welcome aboard.If it intimidates you, this book isn’t for you. From the Editor at Burst Books — Gareth ThomasA Smarter Kind of Learning Has Arrived — Thinking on Its Own.Forget tired textbooks from years past. These AI-crafted STEM editions advance at the speed of discovery. Each page is built by intelligence trained on thousands of trusted sources, delivering crystal-clear explanations, flawless equations, and functional examples — all refreshed through the latest breakthroughs.Best of all, these editions cost a fraction of traditional texts yet surpass expectations. You’re gaining more than a book — you’re enhancing the mind’s performance.Explore BurstBooksPublishing on GitHub to find technical samples, infographics, and additional study material — a complete hub that supports deeper, hands-on learning.In this age of AI, leave the past behind and learn directly from tomorrow. Read more