Free Your Software from Vendor Lock-in using SYCL and oneAPI

The use of accelerators is increasing every year, with software developers taking advantage of GPUs in particular to run a variety of HPC and AI algorithms on highly parallel systems. The data center accelerator market is projected to grow from $13.7 billion in 2021 to $65.3 billion by 2026 according to research from MarketsandMarkets1. During the past decade or so software developers have largely been bound to CUDA* to write highly parallel software that can make use of GPUs that, whilst originally designed for graphics processing, are now being used in a wide range of disciplines that include AI and machine learning. The challenge with this approach for software developers is that CUDA is a proprietary programming interface and can only be used to run on processors from NVIDIA. This ties organizations into a single vendor and limits the ability to innovate with the latest processor architectures.