C++ AMP

Chapter 9. Working with Multiple Accelerators

In this chapter:

Choosing Accelerators

Using More Than One GPU

Swapping Data among Accelerators

Dynamic Load Balancing

Braided Parallelism

Falling Back to the CPU

Summary

So far, the examples in the book have covered using C++ AMP with a single accelerator: a single physical GPU, a WARP accelerator, or the reference (REF) accelerator. Each of these accelerator types is described in this chapter. Although using a single accelerator is probably the most common scenario today, the computer running your application might soon have more than one accelerator. This could be a combination of one or more discrete GPUs, a GPU integrated with the CPU, or both. If your application wants to use all of the available compute ...