Intel has released an open source tool to migrate code to SYCL1 through a project called SYCLomatic, which helps developers more easily port CUDA code to SYCL and C++ to accelerate cross-architecture programming for heterogeneous architectures. This open source project enables community collaboration to advance adoption of the SYCL standard, a key step in freeing developers from a single-vendor proprietary ecosystem. While hardware innovation has led to a diverse heterogeneous architectural landscape for computing, software development has become increasingly complex, making it difficult to take full advantage of CPUs and accelerators. Today’s developers and their teams are strapped for time, money and resources to accommodate the rewriting and testing of code to boost application performance for these different architectures. Developers are looking for open alternatives that improve time-to-value, and Intel is providing an easier, shorter pathway to enabling hardware choice. SYCL, a C++-based Khronos Group standard, extends C++ capabilities to support multiarchitecture and disjoint memory configurations. To initiate this project, Intel open-sourced the technology behind its DPC++ Compatibility Tool to further advance the migration capabilities for producing more SYCL-based applications. Reusing code across architectures simplifies development, reducing time and costs for ongoing code maintenance. Utilizing the Apache 2.0 license with LLVM exception, the SYCLomatic project hosted on GitHub offers a community for developers to contribute and provide feedback to further open heterogeneous development across CPUs, GPUs and FPGAs. How the SYCLomatic Tool Works: SYCLomatic assists developers in porting CUDA code to SYCL, typically migrating 90-95% of CUDA code automatically to SYCL code2. To finish the process, developers complete the rest of the coding manually and then custom-tune to the desired level of performance for the architecture. How Code Migration Usage Works: Research organizations and Intel customers have successfully used the Intel® DPC++ Compatibility Tool, which has the same technologies as SYCLomatic,to migrate CUDA code to SYCL (or Data Parallel C++, oneAPI’s implementation of SYCL) on multiple vendors’ architectures. Examples include the University of Stockholm with GROMACS 20223, Zuse Institute Berlin (ZIB) with easyWave, Samsung Medison and Bittware (view oneAPI DevSummit content for more examples). Multiple customers are also testing code on current and upcoming Intel® Xe architecture-based GPUs, including Argonne National Laboratory Aurora supercomputer, Leibniz Supercomputing Centre (LRZ), GE Healthcare and others.