By Duane Storti,Mete Yurtoglu
The authors introduce the necessities of CUDA C programming in actual fact and concisely, speedy guiding you from working pattern courses to development your individual code. all through, you’ll research from whole examples you could construct, run, and alter, complemented by means of extra initiatives that deepen your figuring out. All initiatives are absolutely built, with distinct construction directions for all significant platforms.
Ideal for any scientist, engineer, or pupil with no less than introductory programming event, this advisor assumes no really good heritage in GPU-based or parallel computing. In an appendix, the authors additionally current a refresher on C programming in the event you want it.
- Preparing your computing device to run CUDA programs
- Understanding CUDA’s parallelism version and C extensions
- Transferring info among CPU and GPU
- Managing timing, profiling, errors dealing with, and debugging
- Creating 2nd grids
- Interoperating with OpenGL to supply real-time person interactivity
- Performing simple simulations with differential equations
- Using stencils to regulate similar computations throughout threads
- Exploiting CUDA’s shared reminiscence strength to augment performance
- Interacting with 3D facts: cutting, quantity rendering, and ray casting
- Using CUDA libraries
- Finding extra CUDA assets and code
Realistic instance purposes include
- Visualizing capabilities in 2nd and 3D
- Solving differential equations whereas altering preliminary or boundary conditions
- Viewing/processing pictures or photo stacks
- Computing internal items and centroids
- Solving platforms of linear algebraic equations
- Monte-Carlo computations
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Additional info for CUDA for Engineers: An Introduction to High-Performance Parallel Computing
CUDA for Engineers: An Introduction to High-Performance Parallel Computing by Duane Storti,Mete Yurtoglu