{"product_id":"gpu-parallel-computing-second-edition-from-basics-to-breakthroughs-in-gpu-programming-9798250799591","title":"GPU Parallel Computing Second Edition: From Basics to Breakthroughs in GPU Programming","description":"\u003cp\u003e • Author(s): Gareth Thomas\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Programming - Parallel\u003c\/p\u003e\u003cp\u003e\u003cb\u003eSecond Edition updated for 2026\u003c\/b\u003e. This book is a complete rewrite with entirely new code samples while covering the same core topics as the original edition. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eAll code and infographics from the book are available at the\u003ci\u003e\u003cb\u003e GitHub repository BurstBooksPublishing.\u003c\/b\u003e\u003c\/i\u003e\u003cp\u003e\u003cb\u003eGPU Parallel Computing: From Basics to Breakthroughs\u003c\/b\u003e - A Technical Guide to GPU Programming\u003c\/p\u003e\u003cp\u003eIf you want to understand how modern GPUs work and how to use them effectively for high-performance workloads, this book provides the technical foundation required.\u003c\/p\u003e\u003cp\u003eThis book assumes no prior exposure to GPU internals; however, a working knowledge of electronics and general computer architecture is recommended.\u003c\/p\u003e\u003cp\u003eIt is written for students, engineers, researchers, and data scientists who are new to GPU architecture and parallel programming and want a rigorous introduction before progressing into optimization and large-scale GPU systems.\u003c\/p\u003e\u003cp\u003eIf you are already an experienced CUDA performance engineer or low-level GPU architect seeking a specialized microarchitectural reference manual, this book is not positioned for that purpose.\u003c\/p\u003e\u003cbr\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003cbr\u003eGPU Architecture Fundamentals\u003cul\u003e\n\u003cli\u003e\u003cp\u003eStreaming multiprocessors and SIMT execution\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eWarp scheduling and instruction flow\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eGPU memory hierarchy and bandwidth considerations\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003eGPU Programming Models\u003cul\u003e\n\u003cli\u003e\u003cp\u003eCUDA programming principles\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eOpenCL fundamentals\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eKernel structure and execution behavior\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003ePerformance Optimization\u003cul\u003e\n\u003cli\u003e\u003cp\u003eMemory access patterns and coalescing\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eWarp divergence and latency hiding\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eOccupancy principles and kernel configuration\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003eReal-World Applications\u003cul\u003e\n\u003cli\u003e\u003cp\u003eScientific simulations\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eMachine learning workloads\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eGraphics and visualization pipelines\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003eAdvanced Topics\u003cul\u003e\n\u003cli\u003e\u003cp\u003eMulti-GPU communication\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eTensor cores and mixed precision\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eProfiling, debugging, and performance analysis\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe early chapters establish architectural clarity and programming fundamentals.\u003cbr\u003eLater chapters address optimization strategies, scalability, and applied GPU workloads.\u003c\/p\u003e\u003cbr\u003eWho This Book Is For\u003cul\u003e\n\u003cli\u003e\u003cp\u003eStudents entering GPU computing\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eEngineers transitioning into parallel architecture\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eResearchers and data scientists adopting GPU acceleration\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis is a technical book. It builds understanding from architectural principles upward and focuses on performance-oriented reasoning rather than superficial overview.\u003c\/p\u003e\u003cbr\u003eWhy This Book\u003cp\u003eMany GPU resources either assume too much prior knowledge or remain overly abstract.\u003c\/p\u003e\u003cp\u003eThis book emphasizes structured technical understanding: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eHow GPUs execute threads\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eWhy performance bottlenecks occur\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow architectural constraints shape results\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow programming decisions map to hardware behavior\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eClear explanations.\u003cbr\u003ePractical code examples.\u003cbr\u003eArchitectural context.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47592715124887,"sku":"9798250799591","price":3450.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798250799591.webp?v=1774978996","url":"https:\/\/atlanticbooks.com\/products\/gpu-parallel-computing-second-edition-from-basics-to-breakthroughs-in-gpu-programming-9798250799591","provider":"Atlantic Books","version":"1.0","type":"link"}