Download CUDA for Engineers: An Introduction to High-Performance by Duane Storti,Mete Yurtoglu PDF

By Duane Storti,Mete Yurtoglu

CUDA for Engineers offers direct, hands-on engagement with own, high-performance parallel computing, allowing you to do computations on a gaming-level notebook that will have required a supercomputer quite a few years in the past.

 

The authors introduce the necessities of CUDA C programming in actual fact and concisely, speedy guiding you from operating pattern courses to construction your personal code. all through, you’ll research from whole examples you could construct, run, and regulate, complemented by means of extra initiatives that deepen your realizing. All initiatives are totally built, with precise construction directions for all significant platforms.

 

Ideal for any scientist, engineer, or scholar with at the least introductory programming event, this consultant assumes no really good history in GPU-based or parallel computing. In an appendix, the authors additionally current a refresher on C programming should you desire it.

 

Coverage includes

  • Preparing your laptop to run CUDA programs
  • Understanding CUDA’s parallelism version and C extensions
  • Transferring information among CPU and GPU
  • Managing timing, profiling, mistakes dealing with, and debugging
  • Creating 2nd grids
  • Interoperating with OpenGL to supply real-time consumer interactivity
  • Performing simple simulations with differential equations
  • Using stencils to control comparable computations throughout threads
  • Exploiting CUDA’s shared reminiscence potential to reinforce performance
  • Interacting with 3D info: cutting, quantity rendering, and ray casting
  • Using CUDA libraries
  • Finding extra CUDA assets and code

 

Realistic instance functions 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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