CUDA Programming A Developer's Guide to Parallel Computing with GPUs
Auteur : Cook Shane
If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems.
1. A Short History of Supercomputing 2. Understanding Parallelism with GPUs 3. CUDA Hardware Overview 4. Setting Up Cuda 5. Grids, Blocks, and Threads 6. Memory Handling with CUDA 7. Using CUDA in Practice 8. Multi-CPU and Multi-GPU Solutions 9. Optimizing Your Application 10. Libraries and SDK 11. Designing GPU-Based Systems 12. Common Problems, Causes, and Solutions
Software engineers, programmers, hardware engineers, students / advanced students
- Comprehensive introduction to parallel programming with CUDA, for readers new to both
- Detailed instructions help readers optimize the CUDA software development kit
- Practical techniques illustrate working with memory, threads, algorithms, resources, and more
- Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets
- Each chapter includes exercises to test reader knowledge
Date de parution : 12-2012
Ouvrage de 592 p.
19x23.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).
Prix indicatif 46,15 €
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Mots-clés :
supercomputing; multi-CPU system; libraries; SDK; CPU processor; parallel code; data storage