Experience Deploying Graph Applications on GPUs with SYCL

SYCL allows for deployment and use of accelerators across vendors' platforms. In this work, we describe the experience of deploying graph analytics on vendors' GPUs using SYCL. We contrast the CUDA and SYCL application programming interfaces by describing the experience of migrating the applications from CUDA to SYCL, evaluate the performance of the applications on NVIDIA and AMD GPUs, and explore performance improvement with device-level parallelism. The results show that the recent SYCL extensions facilitate functional portability, but improving code optimizations and resource usage for performance portability is needed in the compiler implementation.