In this exercise you will learn how to use vec
to explicitly vectorized your
kernel function.
Now that global memory access is coalesced another optimization you can do is to
use the vec
class to present the pixels in the image.
To do this first you want to reinterpret the buffer
objects as buffer
s with
the element type float4
. You can do this by calling reinterpret
on the
buffer
s and specifying the type float4
.
Note you will have to provide a new range
s which will be the original range
s
divided by 4 to account for the channels which are now represented by the four
elements of the vector type.
Now that you are using vector types, you want to replace the representation of
pixels in the kernel function with a float4
and remove any multiplication or
offsets to account for the number of channels.
cmake -DSYCL_ACADEMY_USE_COMPUTECPP=ON -DSYCL_IMPLEMENTATION_INSTALL_ROOT=/insert/path/to/computecpp ..
make exercise_17_vectors_source
./Code_Exercises/Exercise_17_Vectors/exercise_17_vectors_source
clang++ -fsycl -I../../External/Catch2/single_include -I../../Utilities/include/ -I../../External/stb solution.cpp