Cuda Programming Series (6 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condition: Neu. Neuware - GPU's have become an important part of modern computing, enabling applications to process large amounts of data through massive parallelism. CUDA provides developers with a powerful programming model for taking advantage of NVIDIA GPUs, but getting started can be challenging when concepts such as kernels, threads, blocks, grids, memory spaces, and synchronization are introduced all at once.GPU Programming with CUDA For Beginners provides a practical introduction to CUDA programming for readers who want to understand how GPU computing works and learn how to build CUDA applications from the ground up.Starting with the fundamentals of GPU architecture and parallel computing, the book progressively introduces the CUDA programming model, kernel execution, threads, thread blocks, grids, memory management, data transfer, synchronization, and common parallel programming patterns. Practical examples help connect these concepts to the way CUDA programs actually execute on a GPU.You will explore how to: - Understand the fundamentals of GPU computing and parallel execution- Set up a CUDA development environment- Write and launch CUDA kernels- Work with threads, blocks, grids, and execution hierarchies- Manage data between the CPU and GPU- Understand CUDA's different memory spaces- Use synchronization and coordinate parallel work- Design practical parallel algorithms- Identify common CUDA programming mistakes- Structure CUDA applications more effectively- Build a solid foundation for further CUDA development and optimizationThe goal is not simply to memorize CUDA functions. Instead, you will develop a practical mental model of how CUDA programs execute and how GPU-oriented programming differs from conventional CPU programming.Whether you are a programmer new to GPU computing, a software developer expanding into parallel programming, or a technical professional looking to understand CUDA, this book provides a structured starting point for building useful GPU programming skills.Build the fundamentals first. Then use them to write better GPU programs.…

Taschenbuch. Condition: Neu. Neuware - 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 tuningRather 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.…

Condition: New. Print on Demand.

Condition: New. Print on Demand.