{"product_id":"mastering-gpu-programming-with-c-and-cuda-build-high-performance-parallel-applications-optimize-cuda-workloads-and-create-gpu-libraries-for-pytho-9798276307541","title":"Mastering GPU Programming with C]+ and CUDA: Build High-Performance Parallel Applications, Optimize CUDA Workloads, and Create GPU Libraries for Pytho","description":"\u003cp\u003e • Author(s): Ethan Cole\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Programming - Parallel\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMaster the full power of GPU acceleration and take your C++ applications to performance levels that CPUs alone simply can't reach.\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMastering GPU Programming with C++ and CUDA\u003c\/i\u003e is a practical, modern, and results-driven guide for developers who want to build lightning-fast parallel applications, optimize CUDA workloads, and even deliver GPU-powered libraries that can be used directly from Python.\u003cbr\u003eWhether you're accelerating simulations, processing massive datasets, building real-time applications, or exploring high-performance computing, this book shows you exactly how to harness NVIDIA GPUs with confidence-and produce software that truly scales.\u003cbr\u003eUnlock the Real Performance Potential of GPUs\u003cbr\u003eStarting from the core principles of parallelism and GPU architecture, you'll learn how to think like a GPU programmer. Step-by-step, you'll write your first kernels, optimize memory usage, scale across multiple GPUs, and leverage advanced features like CUDA streams and asynchronous execution.\u003cbr\u003eBuild Skills That Translate to Real-World Impact\u003cbr\u003eThrough clear explanations, hands-on examples, and professional optimization techniques, you will learn how to: \u003c\/p\u003e\u003col\u003e\n\u003cli\u003eDevelop high-performance parallel applications in C++ and CUDA\u003c\/li\u003e\n\u003cli\u003eOptimize kernels, memory transfers, and GPU resource usage\u003c\/li\u003e\n\u003cli\u003eAnalyze and eliminate bottlenecks with profiling tools\u003c\/li\u003e\n\u003cli\u003eScale workloads using multi-GPU and distributed models\u003c\/li\u003e\n\u003cli\u003ePackage GPU-powered code into reusable C++ libraries\u003c\/li\u003e\n\u003cli\u003eExpose CUDA libraries to Python using PyBind11 for broader adoption\u003c\/li\u003e\n\u003c\/ol\u003eGo Beyond Tutorials-Build Production-Ready Solutions\u003cbr\u003eThis isn't just a collection of code snippets. You'll explore real engineering practices: \u003col\u003e\n\u003cli\u003eModern C++ patterns for safer GPU resource management\u003c\/li\u003e\n\u003cli\u003eAPI design and modular GPU library architecture\u003c\/li\u003e\n\u003cli\u003eDeployment strategies for research, enterprise, and cloud environments\u003c\/li\u003e\n\u003cli\u003eBest practices for maintainability, testing, and cross-platform builds\u003c\/li\u003e\n\u003c\/ol\u003eExpand Your Reach with Python Integration\u003cbr\u003eWith Python now dominating AI, data science, and research, the book teaches you how to connect your GPU-accelerated C++ code to Python-turning your work into reusable, scalable, and widely adoptable tools.\u003cbr\u003eWho This Book Is For\u003col\u003e\n\u003cli\u003eC++ developers breaking into GPU computing\u003c\/li\u003e\n\u003cli\u003eEngineers and researchers building high-performance applications\u003c\/li\u003e\n\u003cli\u003eProfessionals working in AI, simulation, finance, analytics, robotics, gaming, and scientific computing\u003c\/li\u003e\n\u003cli\u003eAnyone who wants to unlock more speed, scalability, and efficiency from their software\u003c\/li\u003e\n\u003c\/ol\u003eNo prior CUDA experience is required just solid C++ fundamentals and the desire to push performance boundaries.\u003cbr\u003eWhy This Book Stands Out\u003cbr\u003eUnlike generic CUDA resources, this book: \u003col\u003e\n\u003cli\u003eCovers fundamentals \u003ci\u003eand\u003c\/i\u003e advanced optimization\u003c\/li\u003e\n\u003cli\u003eBridges C++ and Python for maximum versatility\u003c\/li\u003e\n\u003cli\u003eFocuses on reusable, production-grade techniques\u003c\/li\u003e\n\u003cli\u003ePrepares you for the fast-evolving GPU landscape, cloud platforms, and next-gen hardware\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":46862350090391,"sku":"9798276307541","price":1913.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798276307541.webp?v=1769965778","url":"https:\/\/atlanticbooks.com\/products\/mastering-gpu-programming-with-c-and-cuda-build-high-performance-parallel-applications-optimize-cuda-workloads-and-create-gpu-libraries-for-pytho-9798276307541","provider":"Atlantic Books","version":"1.0","type":"link"}