{"product_id":"b0g35th4jq","title":"High Performance GPU Computing with C++ and CUDA: Design Robust, Hardware-Agnostic Solutions for the Next Generation of Accelerated Computing","description":"\u003cp\u003eAs CPUs reach their limits and accelerators take over, mastering GPU programming is no longer optional, it’s essential. High Performance GPU Computing with C++ and CUDA is your complete, practical roadmap to building blazing-fast, hardware-agnostic applications using the tools that power today’s most advanced computing systems.\u003c\/p\u003e\n\n\u003cp\u003eWhat This Book Allows You to Do This book teaches you  how to think, design, and code like a modern GPU engineer . You’ll learn how to build scalable CUDA applications, optimize memory usage, understand GPU architecture, eliminate performance bottlenecks, and write clean, robust C++20\/C++23 code that runs efficiently across hardware generations.\u003c\/p\u003e\n\n\u003cp\u003eAbout the Technology CUDA, C++, and modern accelerators form the backbone of scientific computing, AI\/ML pipelines, real-time graphics, and high-throughput data processing. This book demystifies the execution model, thread scheduling, memory hierarchy, asynchrony, concurrency, and profiling so you can exploit the GPU’s massive parallelism with confidence.\u003c\/p\u003e\n\n\u003cp\u003eBook Summary High Performance GPU Computing with C++ and CUDA  takes you from the foundational principles of heterogeneous computing all the way to advanced, production-grade pipelines. You’ll start by understanding why Moore’s Law ended and how accelerators transformed the landscape of modern software engineering. From there, the book builds your skills step-by-step, covering kernels, memory models, SM architecture, warps, coalescing, occupancy, debugging, and libraries such as Thrust, CUB, cuBLAS, and NCCL.\u003c\/p\u003e\n\n\u003cp\u003eAcross its chapters, the book moves from theory to hands-on implementation, culminating in a real-time GPU image-processing pipeline and multi-GPU scaling frameworks. With clear examples, deep insights, and a hardware-agnostic philosophy, this book prepares you to write high-performance code that stands the test of evolving GPU architectures.\u003c\/p\u003e\n\n\u003cp\u003eWhat’s Inside This Book? (5–7 Key Benefits) Master the CUDA execution model,  warps, SIMT, independent thread scheduling, launch bounds, occupancy tuning, and register pressure.\u003c\/p\u003e\n\n\u003cp\u003eWrite clean, future-proof C++20\/C++23 GPU code  using modern templates, lambdas, and standard parallelism (std::par).\u003c\/p\u003e\n\n\u003cp\u003eLearn memory systems like an engineer,  Unified Memory, Pinned Memory, coalescing, shared memory tiling, constant\/texture memory, async copies, and bandwidth profiling.\u003c\/p\u003e\n\n\u003cp\u003eUse professional-grade tools —CMake, Nsight Systems, Nsight Compute, NVTX markers, Compute Sanitizer, and unit testing.\u003c\/p\u003e\n\n\u003cp\u003eBuild real-world GPU pipelines  including image processing, fluid simulations, concurrency with streams, and CUDA Graphs.\u003c\/p\u003e\n\n\u003cp\u003eScale to multiple GPUs  with NCCL, P2P access, unified virtual addressing, and adaptive workload splitting.\u003c\/p\u003e\n\n\u003cp\u003eDevelop hardware-agnostic thinking  to write code that runs efficiently across GPU generations and platforms.\u003c\/p\u003e\n\n\u003cp\u003eAbout the Reader This book is perfect for:\u003c\/p\u003e\n\n\u003cp\u003eStudents learning CUDA or parallel programming for the first time\u003c\/p\u003e\n\n\u003cp\u003eSoftware engineers building GPU-accelerated applications\u003c\/p\u003e\n\n\u003cp\u003eResearchers running simulations, HPC workloads, or AI pipelines\u003c\/p\u003e\n\n\u003cp\u003eC++ developers who want to exploit massive parallelism cleanly and safely\u003c\/p\u003e\n\n\u003cp\u003eAnyone who wants a practical, modern, engineering-grade guide to CUDA\u003c\/p\u003e\n\n\u003cp\u003eIf you’re ready to take your C++ skills into the world of real parallel computing, and unlock performance that CPUs simply cannot reach, then scroll up and get your copy of High Performance GPU Computing with C++ and CUDA today. Your journey to mastering GPU acceleration begins now.\u003c\/p\u003e","brand":"ANT","offers":[{"title":"Ebook","offer_id":52841534554328,"sku":"YSL72853","price":5.39,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0835\/3356\/2072\/files\/615mDqy-_wL._SY1500.jpg?v=1793335582","url":"https:\/\/www.bookmebay.com\/products\/b0g35th4jq","provider":"BookMebay","version":"1.0","type":"link"}