CUDA Performance & Optimization For Beginners: A Practical Guide to Profiling, Memory Optimization, Kernel Performance, and GPU Acceleration*

Name: CUDA Performance & Optimization For Beginners: A Practical Guide to Profiling, Memory Optimization, Kernel Performance, and GPU Acceleration*
Brand: Independently Published
SKU: 9798171913724
Price: 1691.0 INR
Availability: InStock

by Alvin Marsh

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ISBN13: 9798171913724
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: September 4, 2026
Pages: 220
Original Price: GBP 14.75
Language: English
Edition: N/A
Item Weight: 391 grams
BISAC Subject(s): Programming / Algorithms

About The Book

Writing 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.
CUDA Performance & Optimization For Beginners provides a practical introduction to the principles and techniques used to analyze and improve CUDA application performance.
Building 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.
You will explore how to:

Understand the fundamentals of CUDA performance
Measure and establish meaningful performance baselines
Profile CUDA applications and investigate bottlenecks
Analyze kernel execution and GPU utilization
Understand memory-access behavior and its effect on performance
Improve global, shared, and other forms of GPU memory usage
Reduce unnecessary data movement between CPU and GPU
Improve kernel organization and execution efficiency
Understand occupancy and resource utilization
Identify common causes of CUDA performance problems
Benchmark and validate optimization changes
Develop a repeatable approach to CUDA performance tuning

Rather than presenting optimization as a collection of isolated tricks, this book emphasizes a disciplined process: measure, analyze, optimize, and verify. This approach helps readers understand why a workload is slow and determine which changes are most likely to improve it.
Whether 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.
Learn how to stop guessing about GPU performance-and start optimizing based on evidence.

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