This is a simple standalone test case taken from the Kokkos repository & packaged up here for use with SYCL. It's doing a vector-matrix-vector product. It's an identity matrix with two vectors of 1s, so the expected answer is just equal to the problem size.
test_case.cpp contains a simple kernel which has been copied straight from the Kokkos Tutorials (Exercises/02/Solution).
Build it with build.sh, after setting the environment variable:
Kokkos_ROOT="[your/kokkos/installation]/lib/cmake/Kokkos"
Just launch it! There are optional flags:
-N : number of rows -M : number of columns -S : total size -nrepeat : how many times to repeat the test (default 100)
Obviously, not all of N, M & S should be set. The test case will sanity check your args anyway.
In case you don't have an existing Kokkos build, there are some build scripts in ./kokkos_build_scripts.
There are scripts for building Kokkos with SYCL, or CUDA (nvcc or clang).
Set the following environment variables:
KOKKOS_INSTALL_DIR=[/your/install/dir]
KOKKOS_SOURCE_DIR=[/your/source/dir]
HWLOC_DIR=[/your/hwloc/dir]
The Portable Hardware Locality (hwloc) package is an optional dependency which enables Kokkos to query the hardware topology of the system on which it is running. If you do not have a HWLOC installation, this option can be removed & Kokkos will be built without HWLOC support.
Kokkos should work with any SYCL backend, though the focus of this examples repo is SYCL-For-CUDA. Previous work at Codeplay has involved running Kokkos with SYCL on Nvidia hardware with Ampere architecture, hence the flag:
-DKokkos_ARCH_AMPERE80=ON \
This flag is not strictly necessary, but it enables Ahead of Time (AoT) compilation, which can give a significant performance gain when building large projects built on Kokkos. You should modify the cmake command for your GPU arch.