CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing)
by Shane Cook
CUDA Programming: A Developer's Guide to Parallel Computing with GPUs offers developers an introduction to building software for GPU-based parallel computing. Centered on CUDA, the book explores the concepts and practices behind GPU programming and serves as a technical guide to applications of GPU computing.
About This Book
CUDA Programming: A Developer's Guide to Parallel Computing with GPUs introduces the principles and practice of developing software for GPU-based parallel computing.
The book focuses on CUDA programming as a pathway for developers working with applications that can benefit from massively parallel hardware.
It provides a technical resource for understanding how GPU computing fits into modern software development.
Suitable for readers exploring parallel programming, GPU applications, and the broader field of high-performance computing.
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