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Cuda for Engineers: An Introduction to High-Performance Parallel Computing
Paperback
ISBN13: 9780134177410
Publisher: Addison-Wesley Professional
Published: Nov 12 2015
Pages: 352
Weight: 1.20
Height: 0.70 Width: 7.40 Depth: 9.20
Language: English
- Preparing your computer to run CUDA programs
- Understanding CUDA's parallelism model and C extensions
- Transferring data between CPU and GPU
- Managing timing, profiling, error handling, and debugging
- Creating 2D grids
- Interoperating with OpenGL to provide real-time user interactivity
- Performing basic simulations with differential equations
- Using stencils to manage related computations across threads
- Exploiting CUDA's shared memory capability to enhance performance
- Interacting with 3D data: slicing, volume rendering, and ray casting
- Using CUDA libraries
- Finding more CUDA resources and code
- Visualizing functions in 2D and 3D
- Solving differential equations while changing initial or boundary conditions
- Viewing/processing images or image stacks
- Computing inner products and centroids
- Solving systems of linear algebraic equations
- Monte-Carlo computations
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