- What is SYCL
- Enqueueing a Kernel
- Managing Data
- Handling Errors
- Device Discovery
- Data Parallelism
- Introduction to USM
- Using USM
- Asynchronous Execution
- Data and Dependencies
- In Order Queue
- Advanced Data Flow
- Multiple Devices
- ND Range Kernels
- Image Convolution
- Coalesced Global Memory
- Vectors
- Local Memory Tiling
- Further Optimisations
- Matrix Transpose
- More SYCL Features
- Functors
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 the "Data and Dependencies" exercise 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 the "Data and Dependencies" exercise are still met.
2.) In order queue with USM model
Now do the same using the application from the "Data and Dependencies" exercise
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 the "Data and Dependencies" exercise are still met.
Note that in the USM model when using an in-order queue
it is no longer
necessary to chain commands using event
s.
Build and execution hints
For DevCloud via JupiterLab follow these instructions.
For DPC++: instructions.
For AdaptiveCpp: instructions.