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<title>OneAPI (compute acceleration)</title>

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oneAPI (compute acceleration)

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</style><div role="note" class="hatnote navigation-not-searchable">For other uses, see <a href="OneAPI_(disambiguation)" class="mw-redirect mw-disambig" title="OneAPI (disambiguation)">OneAPI (disambiguation)</a>.</div>

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</style><table class="infobox vevent"><tbody><tr><th colspan="2" class="infobox-above summary">oneAPI</th></tr><tr><td colspan="2" class="infobox-image logo"></td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Repository_(version_control)" title="Repository (version control)">Repository</a></th><td class="infobox-data"><a rel="nofollow" class="external text" href="https://github.com/oneapi-src">github.com/oneapi-src</a></td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Operating_system" title="Operating system">Operating system</a></th><td class="infobox-data"><a href="Cross-platform" class="mw-redirect" title="Cross-platform">Cross-platform</a></td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Computing_platform" title="Computing platform">Platform</a></th><td class="infobox-data">Cross-platform</td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Software_categories#Categorization_approaches" title="Software categories">Type</a></th><td class="infobox-data"><a href="Open-source_software" title="Open-source software">Open-source</a> <a href="Formal_specification" title="Formal specification">software specification</a> for parallel programming</td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;">Website</th><td class="infobox-data"><a rel="nofollow" class="external text" href="https://www.oneapi.io/">www.oneapi.io</a> </td></tr></tbody></table>

oneAPI is an <a href="Open_standard" title="Open standard">open standard</a>, adopted by Intel,<a href="#cite_note-FOOTNOTEFortenberryTomov202222-1">[1]</a> for a unified <a href="Application_programming_interface" class="mw-redirect" title="Application programming interface">application programming interface</a> (API) intended to be used across different computing <a href="Hardware_acceleration" title="Hardware acceleration">accelerator</a> (<a href="Coprocessor" title="Coprocessor">coprocessor</a>) architectures, including <a href="GPU" class="mw-redirect" title="GPU">GPUs</a>, <a href="AI_accelerator" class="mw-redirect" title="AI accelerator">AI accelerators</a> and <a href="Field-programmable_gate_array" title="Field-programmable gate array">field-programmable gate arrays</a>. It is intended to eliminate the need for developers to maintain separate code bases, multiple programming languages, tools, and workflows for each architecture.<a href="#cite_note-2">[2]</a><a href="#cite_note-3">[3]</a><a href="#cite_note-4">[4]</a><a href="#cite_note-5">[5]</a>

oneAPI competes with other GPU computing stacks: <a href="CUDA" title="CUDA">CUDA</a> by <a href="Nvidia" title="Nvidia">Nvidia</a> and <a href="ROCm" title="ROCm">ROCm</a> by <a href="AMD" title="AMD">AMD</a>.

<div class="mw-heading mw-heading2"><h2 id="Specification">Specification</h2></div>

The oneAPI specification extends existing developer programming models to enable multiple hardware architectures through a data-parallel language, a set of library APIs, and a low-level hardware interface to support cross-architecture programming. It builds upon industry standards and provides an open, cross-platform developer stack.<a href="#cite_note-spec-6">[6]</a><a href="#cite_note-7">[7]</a>

<div class="mw-heading mw-heading2"><h2 id="Data_Parallel_C++">Data Parallel C++</h2></div>

<a href="Intel_C%2B%2B_Compiler" title="Intel C++ Compiler">DPC++</a><a href="#cite_note-8">[8]</a><a href="#cite_note-9">[9]</a> is a programming language implementation of oneAPI, built upon the <a href="ISO_C%2B%2B" class="mw-redirect" title="ISO C++">ISO C++</a> and <a href="Khronos_Group" title="Khronos Group">Khronos Group</a> <a href="SYCL" title="SYCL">SYCL</a> standards.<a href="#cite_note-10">[10]</a> DPC++ is an implementation of SYCL with extensions that are proposed for inclusion in future revisions of the SYCL standard, including: unified shared memory, group algorithms, and sub-groups.<a href="#cite_note-11">[11]</a><a href="#cite_note-12">[12]</a><a href="#cite_note-13">[13]</a>

<div class="mw-heading mw-heading2"><h2 id="Libraries">Libraries</h2></div>

The set of APIs<a href="#cite_note-spec-6">[6]</a> spans several domains, including libraries for linear algebra, deep learning, machine learning, video processing, and others.

<th>Library Name

</th>

<th>Short

Name

</th>

<th>Description

</th></tr>

<tr>

<td>oneAPI DPC++ Library

</td>

<td>oneDPL

</td>

<td>Algorithms and functions to speed DPC++ kernel programming

</td></tr>

<tr>

<td><a href="Math_Kernel_Library" title="Math Kernel Library">oneAPI Math Kernel Library</a>

</td>

<td>oneMKL

</td>

<td>Math routines including matrix algebra, FFT, and vector math

</td></tr>

<tr>

<td><a href="Data_Analytics_Library" title="Data Analytics Library">oneAPI Data Analytics Library</a>

</td>

<td>oneDAL

</td>

<td>Machine learning and data analytics functions

</td></tr>

<tr>

<td>oneAPI Deep Neural Network Library

</td>

<td>oneDNN

</td>

<td>Neural networks functions for deep learning training and inference

</td></tr>

<tr>

<td>oneAPI Collective Communications Library

</td>

<td>oneCCL

</td>

<td>Communication patterns for distributed deep learning

</td></tr>

<tr>

<td><a href="Threading_Building_Blocks" title="Threading Building Blocks">oneAPI Threading Building Blocks</a>

</td>

<td>oneTBB

</td>

<td>Threading and memory management template library

</td></tr>

<tr>

<td>oneAPI Video Processing Library

</td>

<td>oneVPL

</td>

<td>Real-time video encode, decode, transcode, and processing

</td></tr></tbody></table>

The <a href="Source_code" title="Source code">source code</a> of parts of the above libraries is available on GitHub.<a href="#cite_note-14">[14]</a>

The oneAPI documentation also lists the "Level Zero" API defining the low-level direct-to-metal interfaces and a set of <a href="Ray_tracing_(graphics)" title="Ray tracing (graphics)">ray tracing</a> components with its own APIs.<a href="#cite_note-spec-6">[6]</a>

<div class="mw-heading mw-heading2"><h2 id="Hardware_abstraction_layer">Hardware abstraction layer</h2></div>

oneAPI Level Zero,<a href="#cite_note-15">[15]</a><a href="#cite_note-16">[16]</a><a href="#cite_note-17">[17]</a> the low-level hardware interface, defines a set of capabilities and services that a hardware accelerator needs to interface with compiler runtimes and other developer tools.

<div class="mw-heading mw-heading2"><h2 id="Implementations">Implementations</h2></div>

<a href="Intel" title="Intel">Intel</a> has released oneAPI production toolkits that implement the specification and add CUDA code migration, analysis, and debug tools.<a href="#cite_note-18">[18]</a><a href="#cite_note-19">[19]</a><a href="#cite_note-20">[20]</a> These include the <a href="Intel_C%2B%2B_compiler" class="mw-redirect" title="Intel C++ compiler">Intel oneAPI DPC++/C++ Compiler</a>,<a href="#cite_note-21">[21]</a> <a href="Intel_Fortran_Compiler" title="Intel Fortran Compiler">Intel Fortran Compiler</a>, <a href="VTune" title="VTune">Intel VTune</a> Profiler<a href="#cite_note-22">[22]</a> and multiple performance libraries.

<a href="Codeplay" title="Codeplay">Codeplay</a> has released an open-source layer<a href="#cite_note-23">[23]</a><a href="#cite_note-24">[24]</a><a href="#cite_note-25">[25]</a> to allow oneAPI and <a href="SYCL" title="SYCL">SYCL/DPC++</a> to run atop <a href="Nvidia" title="Nvidia">Nvidia</a> <a href="GPU" class="mw-redirect" title="GPU">GPUs</a> via <a href="CUDA" title="CUDA">CUDA</a>.

<a href="Heidelberg_University" title="Heidelberg University">University of Heidelberg</a> has developed a SYCL/DPC++ implementation for both AMD and Nvidia GPUs.<a href="#cite_note-26">[26]</a>

<a href="Huawei" title="Huawei">Huawei</a> released a DPC++ compiler for their Ascend AI Chipset<a href="#cite_note-27">[27]</a>

<a href="Fujitsu" title="Fujitsu">Fujitsu</a> has created an open-source <a href="ARM_architecture" class="mw-redirect" title="ARM architecture">ARM</a> version of the oneAPI Deep Neural Network Library (oneDNN)<a href="#cite_note-28">[28]</a> for their <a href="Fugaku_(supercomputer)" title="Fugaku (supercomputer)">Fugaku CPU</a>.

<div class="mw-heading mw-heading2"><h2 id="Unified_Acceleration_Foundation_(UXL)_and_the_future_for_oneAPI">Unified Acceleration Foundation (UXL) and the future for oneAPI</h2></div>

Unified Acceleration Foundation (UXL) is a new technology consortium that are working on the continuation of the OneAPI initiative, with the goal to create a new open standard accelerator software ecosystem, related open standards and specification projects through Working Groups and Special Interest Groups (SIGs). The goal will compete with Nvidia's CUDA. The main companies behind it are Intel, Google, ARM, Qualcomm, Samsung, Imagination, and VMware.<a href="#cite_note-29">[29]</a>

<div class="mw-heading mw-heading2"><h2 id="References">References</h2></div>

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<li id="cite_note-28"><a href="#cite_ref-28">^</a> <cite id="CITEREFfltech2020" class="citation web cs1 cs1-prop-foreign-lang-source">fltech (19 November 2020). <a rel="nofollow" class="external text" href="https://blog.fltech.dev/entry/2020/11/19/fugaku-onednn-deep-dive-en">"A Deep Dive into a Deep Learning Library for the A64FX Fugaku CPU - The Development Story in the Developer's Own Words"</a>. fltech - 富士通研究所の技術ブログ (in Japanese). Retrieved 2021-02-10.</cite>

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<li id="cite_note-29"><a href="#cite_ref-29">^</a> <cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.reuters.com/technology/behind-plot-break-nvidias-grip-ai-by-targeting-software-2024-03-25/">"Exclusive: Behind the plot to break Nvidia's grip on AI by targeting software"</a>. <a href="Reuters" title="Reuters">Reuters</a>. Retrieved 2024-04-05.</cite>

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</ol></div></div>

<div class="mw-heading mw-heading2"><h2 id="Sources">Sources</h2></div>

<ul><li><cite id="CITEREFFortenberryTomov2022" class="citation conference cs1">Fortenberry, Anna; Tomov, Stanimire (2022). <a rel="nofollow" class="external text" href="https://icl.utk.edu/files/publications/2022/icl-utk-1616-2022.pdf">Extending MAGMA Portability with OneAPI</a> (PDF). 2022 Workshop on Accelerator Programming Using Directives (WACCPD). <a href="IEEE" class="mw-redirect" title="IEEE">IEEE</a>. pp. 22–31.</cite> .</li></ul>

<div class="mw-heading mw-heading2"><h2 id="External_links">External links</h2></div>

<ul><li><a rel="nofollow" class="external text" href="https://www.oneapi.io/">Official website</a> </li>

<li><a rel="nofollow" class="external text" href="https://github.com/oneapi-src">oneAPI</a> on <a href="GitHub" title="GitHub">GitHub</a></li>

<li><a rel="nofollow" class="external text" href="https://www.codeplay.com/portal/12-16-19-bringing-nvidia-gpu-support-to-sycl-developers">Bringing Nvidia GPU support to SYCL developers</a></li>

<li><cite id="CITEREFReindersAshbaughBrodmanKinsner2021" class="citation book cs1">Reinders, James; et al. (2021). <a rel="nofollow" class="external text" href="https://link.springer.com/book/10.1007/978-1-4842-5574-2">Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL</a>. Open Access Book. Springer. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1007%2F978-1-4842-5574-2">10.1007/978-1-4842-5574-2</a>. <a href="ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <bdi>978-1-4842-5574-2</bdi>. <a href="S2CID_(identifier)" class="mw-redirect" title="S2CID (identifier)">S2CID</a> <a rel="nofollow" class="external text" href="https://api.semanticscholar.org/CorpusID:226231933">226231933</a>.</cite></li>

<li><a rel="nofollow" class="external text" href="https://developer.codeplay.com/products/oneapi/nvidia/2025.1.0/guides/index">oneAPI for NVIDIA GPUs 2025.1.0</a></li>

<li><a rel="nofollow" class="external text" href="https://developer.codeplay.com/products/oneapi/amd/2025.1.0/guides/index">oneAPI for AMD GPUs 2025.1.0</a></li></ul></div><div><div class="zim-footer">

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