The wonderful team over at the SYCL Academy have created an entire curriculum that will get you started with the basics of SYCL and progressing into the more advanced features.
- 1
What is SYCL
For this first exercise you simply need to install a SYCL implementation and the SYCL Academy depend..
- 2
Enqueueing a Kernel
In this first exercise you will learn how to enqueue your first kernel function to run on a device a..
- 3
Managing Data
In this exercise you will learn how to create `buffer`s to manage data and `accessor`s to access the..
- 4
Handling Errors
In this exercise you will learn how to handle synchronous and asynchronous exceptions. * * * ### 1..
- 5
Device Discovery
In this exercise you will learn how to create a device selector that will choose a device for you to..
- 6
Data Parallelism
In this exercise you will learn how add the values in two arrays and write the results to another ar..
- 7
Introduction to USM
In this exercise you will learn how to find a suitable device for using the USM data management mode..
- 8
Using USM
In this exercise you will learn how to use the USM API to write a SYCL application which performs a..
- 9
Asynchronous Execution
In this exercise you will learn how to use different techniques for synchronizing commands and data...
- 10
Data and Dependencies
In this exercise you will learn how to create a data dependency data flow graph in both the buffer/a..
- 11
In Order Queue
In this exercise you will learn how to create a fixed data flow using an in- order `queue`. * * *..
- 12
Advanced Data Flow
In this exercise you will learn how to use temporary data and avoid unnecessary copies to and from t..
- 13
Multiple Devices
In this exercise you will learn how to create two separate queues and then split a task across two d..
- 14
ND Range Kernels
In this exercise you will learn how to enqueue ND range kernel functions. * * * ### 1.) Use items..
- 15
Image Convolution
In this exercise there is no task, simply familiarize yourself with the image convolution reference..
- 16
Coalesced Global Memory
In this exercise you will learn how to apply row-major and column-major when linearizing the global..
- 17
Vectors
In this exercise you will learn how to use `vec` to explicitly vectorized your kernel function. * *..
- 18
Local Memory Tiling
In this exercise you will learn how to cache global memory into local memory in tiles according to w..
- 19
Further Optimisations
In this exercise you will learn how to use different work-group sizes in order to compare the perfor..
- 20
Matrix Transpose
This exercise uses GPU specific features in order to gain good GPU performance. While code will run..
- 21
More SYCL Features
This section shows the use of some SYCL features in order to perform a vector reduce operation. `re..
- 22
Functors
In this exercise you will learn how to use `functors` instead of lambda functions as kernels. * * *..