Buch, Englisch, 592 Seiten, Format (B × H): 193 mm x 235 mm, Gewicht: 1162 g
A Developer's Guide to Parallel Computing with Gpus
Buch, Englisch, 592 Seiten, Format (B × H): 193 mm x 235 mm, Gewicht: 1162 g
ISBN: 978-0-12-415933-4
Verlag: Elsevier Science
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.
Zielgruppe
<p>Software engineers, programmers, hardware engineers, students / advanced students</p>
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung
- Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen
Weitere Infos & Material
1. A Short History of Supercomputing2. Understanding Parallelism with GPUs3. CUDA Hardware Overview4. Setting Up Cuda5. Grids, Blocks, and Threads6. Memory Handling with CUDA7. Using CUDA in Practice8. Multi-CPU and Multi-GPU Solutions9. Optimizing Your Application10. Libraries and SDK11. Designing GPU-Based Systems12. Common Problems, Causes, and Solutions