Content deleted Content added
Tangledyarn (talk | contribs) →Data Parallel C++: Added clarifying language to explain why this section is included on this page and the relationship between Data Parallel C++ and oneAPI. Cleaned up second sentence. |
Tangledyarn (talk | contribs) →Implementations: Made language in first sentence more objective. Removed Applications section since no impactful applications were listed, and the list that was there can be found in the Fortenberry and Tomov reference. |
||
Line 68:
== Implementations ==
[[Intel]] has released oneAPI production
[[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|SYCL/DPC++]] to run atop [[Nvidia]] [[GPU]]s via [[CUDA]].
Line 77:
[[Fujitsu]] has created an open-source [[ARM architecture|ARM]] version of the oneAPI Deep Neural Network Library (oneDNN)<ref>{{Cite web|last=fltech|date= |title=A Deep Dive into a Deep Learning Library for the A64FX Fugaku CPU - The Development Story in the Developer's Own Words|url=https://blog.fltech.dev/entry/2020/11/19/fugaku-onednn-deep-dive-en|access-date=2021-02-10|website=fltech - 富士通研究所の技術ブログ|language=ja}}</ref> for their [[Fugaku (supercomputer)|Fugaku CPU]].
==References==
|