Modern GPU Architecture - Volume 1: Foundations and the Graphics PipelineMost GPU books stop at the surface. They explain shaders, APIs, rendering concepts, or CUDA programming - but they rarely show how the machine underneath actually works. This book goes deeper. Modern GPU Architecture - Volume 1 is written for readers who want to understand the GPU as hardware: how geometry becomes pixels, how SIMT execution hides latency, how shader cores schedule work, how rasterizers make coverage decisions, how memory systems feed thousands of parallel lanes, and how the render-output pipeline commits the final image. This is not a light overview of graphics programming. It is a hardware-focused guide to the architecture behind the graphics pipeline, backed by synthesizable Verilog and SystemVerilog examples that connect theory to real digital design structures. Inside Volume 1, you will learn how GPUs are built from the inside out:Why GPUs favor throughput over single-thread latencyHow SIMT execution groups scalar threads into warps and wavefrontsHow divergence, masking, reconvergence, and scheduling affect real utilizationHow Verilog and SystemVerilog express synthesizable GPU hardwareHow valid-ready handshakes, pipelines, CDC logic, FIFOs, and testbenches work in RTLHow 3D geometry, transformations, clipping, and rasterization become hardware datapathsHow triangle setup, edge functions, fixed-point arithmetic, and tile-based scan conversion operateHow fragment processing, texturing, filtering, blending, and depth testing fit into the pipelineHow shader cores organize schedulers, register files, execution lanes, divergence control, and instruction flowHow GPU memory subsystems handle coalescing, shared memory, L1/L2 caches, DRAM controllers, and atomic operationsHow the render-output pipeline performs depth/stencil testing, blending, MSAA resolve, compression, and framebuffer writebackThis book is for you if you are:An FPGA or RTL hobbyist who wants to build and understand GPU-like hardwareA computer engineering student who wants more than textbook CPU architectureA graphics programmer who understands shaders and wants to know what the silicon is doingA CUDA, HPC, or AI performance reader who wants to understand the layer beneath the software stackAn early-career ASIC, RTL, or verification engineer looking for a clear architectural map of GPU pipeline hardwareThe difference is simple:Most resources tell you what the GPU does. This book shows you how the GPU is organized to do it. From throughput-first design philosophy to shader-core control logic, from rasterization mathematics to fixed-point hardware, from memory coalescing to render-output behavior, Modern GPU Architecture - Volume 1 gives you the architectural foundation needed to read a GPU as an engineer rather than as a user. If you want a shallow introduction, this is not it. If you want to understand the graphics pipeline as real hardware - with RTL concepts, datapaths, control signals, scheduling logic, memory hierarchy, and verification discipline - this volume was written for you. Start with Volume 1 and build the foundation: the complete geometry-to-pixels path of modern GPU architecture.