{"product_id":"modern-gpu-architecture-third-edition-gareth-thomas-9798182395540","title":"Modern GPU Architecture Third Edition: Volume 2 - Acceleration, Integration, and Physical Design","description":"\u003cp\u003e\u003cb\u003eModern GPU Architecture - Volume 2: Acceleration, Integration, and Physical Design\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eA modern GPU is no longer just a graphics processor.\u003c\/p\u003e\u003cp\u003eIt is a compute engine, AI accelerator, ray-tracing machine, video processor, interconnect fabric, synchronization system, thermal design problem, and silicon product - all in one.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eVolume 1 showed how the graphics pipeline becomes hardware.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eVolume 2 shows how that hardware becomes a complete modern GPU.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThis volume moves beyond the geometry-to-pixels pipeline and into the accelerators, system engines, performance limits, and physical-design realities that define modern GPU architecture.\u003c\/p\u003e\u003cp\u003eIf you want to understand compute dispatch, tensor cores, ray-tracing units, synchronization, memory ordering, advanced rendering, video engines, interconnects, performance counters, timing closure, packaging, and emerging accelerator design, this book connects them into one coherent system.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eInside Volume 2, you will learn: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eHow GPU compute architecture launches and schedules massively parallel kernels\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow occupancy, registers, shared memory, warp slots, and barriers limit resident work\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow tensor and matrix accelerators use tiling, systolic datapaths, mixed precision, and sparsity\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow ray-tracing hardware performs BVH traversal, primitive testing, ray scheduling, and shader integration\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow barriers, fences, atomics, cache coherence, and memory ordering preserve correctness\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow mesh shaders, VRS, deferred rendering, display engines, video engines, and interconnects fit into the larger GPU\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow counters, roofline limits, workload signatures, power, and thermals shape performance\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow floorplanning, synthesis, timing closure, place-and-route, DFT, packaging, and chiplet integration turn architecture into silicon\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eWhere GPU architecture is heading as AI accelerators, new memory systems, and post-Moore scaling reshape the field\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eThis book is for readers who want the layer beneath the marketing terms.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eNot just \"tensor cores are fast,\" but how matrix acceleration changes datapaths, precision, memory layout, and scheduling.\u003c\/p\u003e\u003cp\u003eNot just \"ray tracing uses RT cores,\" but how traversal, primitive intersections, coherence, sorting, and shader handoff fit into hardware.\u003c\/p\u003e\u003cp\u003eNot just \"GPUs are massively parallel,\" but how synchronization, resource allocation, interconnect congestion, and thermal limits decide whether that parallelism survives.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThis book is for you if you are: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eA hardware or computer-engineering student moving beyond CPU architecture\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eAn FPGA, RTL, or ASIC learner studying GPU-like design\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eA graphics programmer who wants to understand the silicon behind modern rendering\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eA CUDA, HPC, or AI performance reader who wants the hardware layer below kernels and libraries\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eAn early-career engineer who wants a map of how GPU blocks connect, scale, and become manufacturable\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eMost books explain one slice of the GPU.\u003c\/p\u003e\u003cp\u003eThis volume connects the slices.\u003c\/p\u003e\u003cp\u003eCompute, tensor acceleration, ray tracing, synchronization, rendering, video, interconnect, performance, physical design, and future accelerator trends are treated as parts of one machine - not isolated buzzwords.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIf Volume 1 is the graphics pipeline foundation, Volume 2 is the complete systems view.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eRead it to understand how acceleration, integration, and physical design turn modern GPU architecture into real silicon.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Gareth Thomas\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798182395540\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/01\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 376\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.92lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.50w x 0.78d","brand":"Gareth Thomas","offers":[{"title":"Paperback","offer_id":48997851267327,"sku":"9798182395540","price":33.97,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/modern-gpu-architecture-third-edition-gareth-thomas-9798182395540","provider":"WR Book House","version":"1.0","type":"link"}