Break into the powerful world of parallel GPU programming with
this down-to-earth, practical guide
Designed for professionals across multiple industrial sectors,
"Professional CUDA C Programming "presents CUDA -- a parallel
computing platform and programming model designed to ease the
development of GPU programming -- fundamentals in an easy-to-follow
format, and teaches readers how to think in parallel and implement
parallel algorithms on GPUs. Each chapter covers a specific topic,
and includes workable examples that demonstrate the development
process, allowing readers to explore both the "hard" and "soft"
aspects of GPU programming.
Computing architectures are experiencing a fundamental shift
toward scalable parallel computing motivated by application
requirements in industry and science. This book demonstrates the
challenges of efficiently utilizing compute resources at peak
performance, presents modern techniques for tackling these
challenges, while increasing accessibility for professionals who
are not necessarily parallel programming experts. The CUDA
programming model and tools empower developers to write
high-performance applications on a scalable, parallel computing
platform: the GPU. However, CUDA itself can be difficult to learn
without extensive programming experience. Recognized CUDA
authorities John Cheng, Max Grossman, and Ty McKercher guide
readers through essential GPU programming skills and best practices
in "Professional CUDA C Programming," including: CUDA Programming
ModelGPU Execution ModelGPU Memory modelStreams, Event and
ConcurrencyMulti-GPU ProgrammingCUDA Domain-Specific
LibrariesProfiling and Performance Tuning
The book makes complex CUDA concepts easy to understand for
anyone with knowledge of basic software development with exercises
designed to be both readable and high-performance. For the
professional seeking entrance to parallel computing and the
high-performance computing community, "Professional CUDA C
Programming "is an invaluable resource, with the most current
information available on the market.
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