CUDA for Engineers gives you direct, handson engagement with personal, highperformance parallel computing, enabling you to do computations on a gaminglevel PC that would have required a supercomputer just a few years ago. The authors introduce the essentials of CUDA C programming clearly and concisely, quickly guiding you from running sample programs to building your own code. Throughout, youll learn from complete examples you can build, run, and modify, complemented by additional projects that deepen your understanding. All projects are fully developed, with detailed building instructions for all major platforms. Ideal for any scientist, engineer, or student with at least introductory programming experience, this guide assumes no specialized background in GPUbased or parallel computing. In an appendix, the authors also present a refresher on C programming for those who need it. Coverage includes Preparing your computer to run CUDA programs Understanding CUDAs 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 realtime user interactivity Performing basic simulations with differential equations Using stencils to manage related computations across threads Exploiting CUDAs shared memory capability to enhance performance Interacting with 3D data slicing, volume rendering, and ray casting Using CUDA libraries Finding more CUDA resources and...

Binding: Paperback;352 pages; Publisher: Pearson Education (US); Classification: UML; Weight: 722 g; Dimensions: 189 x 232 x 21

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