Modern gpu architecture third de thomas gareth (16 resultados)

Paperback. Condición: New.

Paperback. Condición: New.

Taschenbuch. Condición: Neu. Neuware.

Taschenbuch. Condición: Neu. Neuware.

Paperback. Condición: New.

Paperback. Condición: New.

Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. Modern GPU Architecture - Volume 2: Acceleration, Integration, and Physical DesignA modern GPU is no longer just a graphics processor.It is a compute engine, AI accelerator, ray-tracing machine, video processor, interconnect fabric, synchronization system, thermal design problem, and silicon product - all in one.Volume 1 showed how the graphics pipeline becomes hardware.Volume 2 shows how that hardware becomes a complete modern GPU.This 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.If 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.Inside Volume 2, you will learn: How GPU compute architecture launches and schedules massively parallel kernelsHow occupancy, registers, shared memory, warp slots, and barriers limit resident workHow tensor and matrix accelerators use tiling, systolic datapaths, mixed precision, and sparsityHow ray-tracing hardware performs BVH traversal, primitive testing, ray scheduling, and shader integrationHow barriers, fences, atomics, cache coherence, and memory ordering preserve correctnessHow mesh shaders, VRS, deferred rendering, display engines, video engines, and interconnects fit into the larger GPUHow counters, roofline limits, workload signatures, power, and thermals shape performanceHow floorplanning, synthesis, timing closure, place-and-route, DFT, packaging, and chiplet integration turn architecture into siliconWhere GPU architecture is heading as AI accelerators, new memory systems, and post-Moore scaling reshape the fieldThis book is for readers who want the layer beneath the marketing terms.Not just "tensor cores are fast," but how matrix acceleration changes datapaths, precision, memory layout, and scheduling.Not just "ray tracing uses RT cores," but how traversal, primitive intersections, coherence, sorting, and shader handoff fit into hardware.Not just "GPUs are massively parallel," but how synchronization, resource allocation, interconnect congestion, and thermal limits decide whether that parallelism survives.This book is for you if you are: A hardware or computer-engineering student moving beyond CPU architectureAn FPGA, RTL, or ASIC learner studying GPU-like designA graphics programmer who wants to understand the silicon behind modern renderingA CUDA, HPC, or AI performance reader who wants the hardware layer below kernels and librariesAn early-career engineer who wants a map of how GPU blocks connect, scale, and become manufacturableMost books explain one slice of the GPU.This volume connects the slices.Compute, 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.If Volume 1 is the graphics pipeline foundation, Volume 2 is the complete systems view.Read it to understand how acceleration, integration, and physical design turn modern GPU architecture into real silicon. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Condición: New. Print on Demand.

Condición: New. Print on Demand.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: new. Paperback. Modern GPU Architecture - Volume 2: Acceleration, Integration, and Physical DesignA modern GPU is no longer just a graphics processor.It is a compute engine, AI accelerator, ray-tracing machine, video processor, interconnect fabric, synchronization system, thermal design problem, and silicon product - all in one.Volume 1 showed how the graphics pipeline becomes hardware.Volume 2 shows how that hardware becomes a complete modern GPU.This 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.If 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.Inside Volume 2, you will learn: How GPU compute architecture launches and schedules massively parallel kernelsHow occupancy, registers, shared memory, warp slots, and barriers limit resident workHow tensor and matrix accelerators use tiling, systolic datapaths, mixed precision, and sparsityHow ray-tracing hardware performs BVH traversal, primitive testing, ray scheduling, and shader integrationHow barriers, fences, atomics, cache coherence, and memory ordering preserve correctnessHow mesh shaders, VRS, deferred rendering, display engines, video engines, and interconnects fit into the larger GPUHow counters, roofline limits, workload signatures, power, and thermals shape performanceHow floorplanning, synthesis, timing closure, place-and-route, DFT, packaging, and chiplet integration turn architecture into siliconWhere GPU architecture is heading as AI accelerators, new memory systems, and post-Moore scaling reshape the fieldThis book is for readers who want the layer beneath the marketing terms.Not just "tensor cores are fast," but how matrix acceleration changes datapaths, precision, memory layout, and scheduling.Not just "ray tracing uses RT cores," but how traversal, primitive intersections, coherence, sorting, and shader handoff fit into hardware.Not just "GPUs are massively parallel," but how synchronization, resource allocation, interconnect congestion, and thermal limits decide whether that parallelism survives.This book is for you if you are: A hardware or computer-engineering student moving beyond CPU architectureAn FPGA, RTL, or ASIC learner studying GPU-like designA graphics programmer who wants to understand the silicon behind modern renderingA CUDA, HPC, or AI performance reader who wants the hardware layer below kernels and librariesAn early-career engineer who wants a map of how GPU blocks connect, scale, and become manufacturableMost books explain one slice of the GPU.This volume connects the slices.Compute, 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.If Volume 1 is the graphics pipeline foundation, Volume 2 is the complete systems view.Read it to understand how acceleration, integration, and physical design turn modern GPU architecture into real silicon. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …