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== Implementations ==
[[Intel]] has released production quality oneAPI toolkits that implement the specification and add migration, analysis, and debug tools.<ref>{{Cite news|date=2020-11-11|title=Intel Champions XPU Vision With oneAPI, Data Center GPUs - SDxCentral|language=en-US|work=SDxCentral|url=https://www.sdxcentral.com/articles/news/intel-champions-xpu-vision-with-oneapi-data-center-gpus/2020/11/|access-date=2020-11-11}}</ref><ref>{{Cite web|date=2020-11-11|title=Intel Debuts oneAPI Gold and Provides More Details on GPU Roadmap|url=https://www.hpcwire.com/2020/11/11/intel-debuts-oneapi-gold-and-provides-more-details-on-gpu-roadmap/|access-date=2020-11-11|website=HPCwire|language=en-US}}</ref><ref>{{Cite web|last=Moorhead|first=Patrick|title=Intel Announces Gold Release Of OneAPI Toolkits And New Intel Server GPU|url=https://www.forbes.com/sites/patrickmoorhead/2020/12/02/intel-announces-gold-release-of-oneapi-toolkits-and-new-intel-server-gpu/|access-date=2020-12-08|website=Forbes|language=en}}</ref> These include the [[Intel C++ compiler]], [[Intel Fortran Compiler|Intel Fortran compiler]], [[VTune]] and multiple performance libraries.
[[Codeplay]] has released an open-source layer<ref>{{Cite web|url=https://www.hpcwire.com/2020/02/04/codeplay-open-sources-a-version-of-computecpp-for-nvidia-gpus/|title=Codeplay Open Sources a Version of DPC++ for Nvidia GPUs|date=2020-02-05|website=HPCwire|language=en-US|access-date=2020-02-12}}</ref><ref>{{Cite web|url=https://www.phoronix.com/scan.php?page=news_item&px=Intel-oneAPI-DPC-SYCL-NVIDIA-CU|title=Intel's oneAPI / DPC++ / SYCL Will Run Atop NVIDIA GPUs With Open-Source Layer - Phoronix|website=www.phoronix.com|access-date=2019-12-06}}</ref><ref>{{Cite web|url=https://www.codeplay.com/portal/02-03-20-codeplay-contribution-to-dpcpp-brings-sycl-support-for-nvidia-gpus|title=Codeplay - Codeplay contribution to DPC++ brings SYCL support for NVIDIA GPUs|website=www.codeplay.com|access-date=2020-02-11}}</ref> to allow oneAPI and [[SYCL]] / Data Parallel C++ to run atop [[Nvidia]] [[GPU]]s via [[CUDA]].
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