{"product_id":"cuda-performance-optimization-for-beginners-a-practical-guide-to-profiling-memory-optimization-kernel-performance-and-gpu-acceleration-9798171913724","title":"CUDA Performance \u0026 Optimization For Beginners: A Practical Guide to Profiling, Memory Optimization, Kernel Performance, and GPU Acceleration*","description":"\u003cp\u003e • Author(s): Alvin Marsh\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Programming - Algorithms\u003c\/p\u003e\u003cp\u003eWriting a CUDA program that works is only the beginning. Getting that program to use the GPU efficiently requires a different set of skills: measuring performance, identifying bottlenecks, understanding memory behavior, analyzing kernel execution, and making optimization decisions based on evidence rather than assumptions.\u003cbr\u003e\u003cb\u003eCUDA Performance \u0026amp; Optimization For Beginners\u003c\/b\u003e provides a practical introduction to the principles and techniques used to analyze and improve CUDA application performance.\u003cbr\u003eBuilding on fundamental CUDA programming concepts, the book introduces a systematic approach to performance optimization. You will learn how to measure GPU workloads, interpret profiling information, identify common performance bottlenecks, understand memory behavior, improve kernel execution, and evaluate whether an optimization actually produces meaningful results.\u003cbr\u003eYou will explore how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the fundamentals of CUDA performance\u003c\/li\u003e\n\u003cli\u003eMeasure and establish meaningful performance baselines\u003c\/li\u003e\n\u003cli\u003eProfile CUDA applications and investigate bottlenecks\u003c\/li\u003e\n\u003cli\u003eAnalyze kernel execution and GPU utilization\u003c\/li\u003e\n\u003cli\u003eUnderstand memory-access behavior and its effect on performance\u003c\/li\u003e\n\u003cli\u003eImprove global, shared, and other forms of GPU memory usage\u003c\/li\u003e\n\u003cli\u003eReduce unnecessary data movement between CPU and GPU\u003c\/li\u003e\n\u003cli\u003eImprove kernel organization and execution efficiency\u003c\/li\u003e\n\u003cli\u003eUnderstand occupancy and resource utilization\u003c\/li\u003e\n\u003cli\u003eIdentify common causes of CUDA performance problems\u003c\/li\u003e\n\u003cli\u003eBenchmark and validate optimization changes\u003c\/li\u003e\n\u003cli\u003eDevelop a repeatable approach to CUDA performance tuning\u003c\/li\u003e\n\u003c\/ul\u003eRather than presenting optimization as a collection of isolated tricks, this book emphasizes a disciplined process: \u003cb\u003emeasure, analyze, optimize, and verify\u003c\/b\u003e. This approach helps readers understand why a workload is slow and determine which changes are most likely to improve it.\u003cbr\u003eWhether you are learning CUDA optimization for the first time, improving existing GPU applications, or developing a stronger understanding of GPU performance engineering, this book provides a practical foundation for making CUDA workloads more efficient.\u003cbr\u003e\u003cb\u003eLearn how to stop guessing about GPU performance-and start optimizing based on evidence.\u003c\/b\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":67784253112471,"sku":"9798171913724","price":1691.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798171913724.webp?v=1790687112","url":"https:\/\/atlanticbooks.com\/products\/cuda-performance-optimization-for-beginners-a-practical-guide-to-profiling-memory-optimization-kernel-performance-and-gpu-acceleration-9798171913724","provider":"Atlantic Books","version":"1.0","type":"link"}