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- 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
Managing Data
In this exercise you will learn how to create buffer
s to manage data and
accessor
s to access the data within a kernel function.
1.) Allocate your input and output
Allocate memory on the host for your input and output data variables and assign values to the inputs.
2.) Construct buffers
In SYCL buffers are used to manage data across the host and device(s).
Construct a buffer to manage your input and output data. The parameters to
construct a buffer are a pointer to the host data and a 1
dimensional range
of 1
to represent a single value. The element type and dimensionality can be
inferred from the pointer and the range
.
3.) Construct accessors
In SYCL accessors are used to declare data dependencies to a SYCL kernel function as well as to access the data within a SYCL kernel function.
Construct an accessor for each of the buffers to access the data of each within
the kernel function. The parameters to construct an accessor
are the buffer
and the handler
.
4.) Declare your kernel
Declare a SYCL kernel function using the single_task
command provide a lambda
as the kernel function. The kernel function should use the operator[]
of the
accessor
objects to read from the inputs and write the sum to the output. As
each accessor
is only accessing a single element you can simply specify 0
.
5.) Try a temporary buffer
You can construct a temporary buffer
that doesn't copy back on destruction by
initializing it with just a range
and no host pointer.
Build And Execution Hints
For DevCloud via JupiterLab follow these instructions.
For DPC++: instructions.
For AdaptiveCpp: instructions.