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listShow Lessons List
  1. What is SYCL
  2. Enqueueing a Kernel
  3. Managing Data
  4. Handling Errors
  5. Device Discovery
  6. Data Parallelism
  7. Introduction to USM
  8. Using USM
  9. Asynchronous Execution
  10. Data and Dependencies
  11. In Order Queue
  12. Advanced Data Flow
  13. Multiple Devices
  14. ND Range Kernels
  15. Image Convolution
  16. Coalesced Global Memory
  17. Vectors
  18. Local Memory Tiling
  19. Further Optimisations
  20. Matrix Transpose
  21. More SYCL Features
  22. Functors
Lesson
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In Order Queue

In this exercise you will learn how to create a fixed data flow using an in-order queue.

Exercise queue_benchmarking

Your old coworker is lazy, and has enqueued all the kernels in the same in-order queue. Performance is poor as kernels cannot execute concurrently. Your goal is to improve it:

  • Using one out-of-order queue
  • Using multiple in-order queues

Exercise vector_add

1.) In order queue with buffer/accessor model

Using the application from exercise 10 which uses the buffer/accessor model convert the queue to in-order using the property::queue::in_order property, converting the data flow graph to a fixed execution order.

Feel free to have the kernel functions execute in any order you like providing the necessary dependencies described in exercise 10 are still met.

2.) In order queue with USM model

Now do the same using the application from exercise 10 which uses the USM model, again converting the queue to in-order, converting the data flow graph to a fixed execution order.

Again feel free to have the kernel functions execute in any order you like providing the necessary dependencies described in exercise 10 are still met.

Note that in the USM model when using an in-order queue it is no longer necessary to chain commands using events.

Build and execution hints

For DevCloud via JupiterLab follow these instructions.

For DPC++: instructions.

For AdaptiveCpp: instructions.