By Duane Storti,Mete Yurtoglu
The authors introduce the necessities of CUDA C programming truly and concisely, quick guiding you from working pattern courses to construction your personal code. all through, you’ll examine from entire examples you could construct, run, and regulate, complemented by way of extra tasks that deepen your knowing. All tasks are absolutely built, with specified development directions for all significant platforms.
Ideal for any scientist, engineer, or scholar with a minimum of introductory programming event, this consultant assumes no really expert history in GPU-based or parallel computing. In an appendix, the authors additionally current a refresher on C programming if you happen to desire it.
- Preparing your desktop to run CUDA programs
- Understanding CUDA’s parallelism version and C extensions
- Transferring information among CPU and GPU
- Managing timing, profiling, blunders dealing with, and debugging
- Creating 2nd grids
- Interoperating with OpenGL to supply real-time consumer interactivity
- Performing uncomplicated simulations with differential equations
- Using stencils to regulate comparable computations throughout threads
- Exploiting CUDA’s shared reminiscence strength to augment performance
- Interacting with 3D info: cutting, quantity rendering, and ray casting
- Using CUDA libraries
- Finding extra CUDA assets and code
Realistic instance purposes include
- Visualizing services in second and 3D
- Solving differential equations whereas altering preliminary or boundary conditions
- Viewing/processing photos or photograph 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