oneAPI is an open, cross-industry, standards-based, unified, multiarchitecture, multi-vendor programming model that delivers a common developer experience across accelerator architectures – for faster application performance, more productivity, and greater innovation. The oneAPI initiative encourages collaboration on the oneAPI specification and compatible oneAPI implementations across the ecosystem.Explore Spec Elements
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Collaborate with our community.
We invite radical collaboration from across the ecosystem to create a shared industry spec that gives developers the power and flexibility to create fast, innovative, data-centric solutions.
With the growth of AI, machine learning, and data-centric applications, the industry needs a programming model that allows developers to take advantage of rapid innovation in processor architectures. TensorFlow supports the oneAPI industry initiative and its standards-based open specification. oneAPI complements TensorFlow’s modular design and provides increased choice of hardware vendor and processor architecture, and faster support of next-generation accelerators. TensorFlow uses oneAPI today on Xeon processors, and we look forward to using oneAPI to run on future Intel architectures.
The future of advanced computing requires heterogeneous hardware to maximize the computing power needed for exascale-class workloads. The oneAPI industry initiative Intel is spearheading will ensure that programming across diverse compute architectures is greatly simplified.
The promise of oneAPI to deliver a single programming environment across multiple compute architectures is a vital tool to unlock the promise of heterogeneous computing. Here, science communities can leverage investments in code development across multi-hardware platforms, helping advance performance gains from different hardware targets and also making future hardware targets more accessible.
One of the major problems facing developers today is disparate programming environments and little code reuse opportunities across different types of hardware. A single programming environment that could render code without sacrificing performance across multiple hardware types is a difficult, yet important, challenge. Intel oneAPI appears to be a significant step in the right direction, promising code portability without compromising the ability to tune performance for CPUs and accelerators, and making hardware transitions considerably less risky and error prone. We are therefore considering oneAPI for high energy physics (HEP) workloads.
A unified programming model like Intel’s oneAPI can go a long way in accelerating the hardware and software ecosystems. We especially welcome how Intel is driving this as an open initiative and look forward to working closely with them to increase adoption in a collaborative manner.
Customers are requiring development tools to address varying and data-intensive workloads running on complex, diverse architectures. By continuing our long-standing partnership with Intel and supporting oneAPI, our customers are gaining tools to optimize applications and speed market delivery through unified programming and simplified software development across a range of HPE technologies, including compute solutions such as CPUs, GPUs, FPGAs, and AI accelerators.
We eagerly look forward to the oneAPI initiative, and the effort to build a platform-inclusive programming approach that will help domain experts improve utilization across a variety of available hardware, as well as other emerging architectures in the future.
SUSE is the most customer-centric open source company in the world, and that’s why we look forward to the oneAPI initiative. Its goal of delivering a single multi-architecture programming environment based on an open specification and industry standards will benefit enterprise users globally. SUSE anticipates ongoing collaboration with Intel around this initiative, as well as others, in order to help ease software development and deployment for our joint customer base.
I’m delighted to strongly endorse Data Parallel C++, a cross-architecture development language, based on the first specification and road map. We think it's outstanding to finally see a strong C++ enabled accelerator development environment, as well as the strong commitment to an open project and industry specifications. Furthermore, the aim of contributing parallel and accelerator-enabled functionality as part of future C++ standards is just as important, since this will be a revolution for portability.
We are pleased to see the SYCL standard used as the foundation of oneAPI. This drives the collaboration on open-source implementations including up-streaming to Clang/LLVM and motivates further community input to the standards body at Khronos SYCL.
DevSummit for AI & HPC South Korea 2023
Join us for the oneAPI DevSummit, focused on AI, oneAPI and SYCL for accelerated computing across xPU architectures. In this virtual conference, you will learn from leading industry and academia speakers innovating new oneAPI solutions for cross-platform, multi-vendor architecture
oneAPI DevSummit for AI 2023
The oneAPI DevSummit for AI 2023 offers valuable insights for researchers, data scientists, and developers. It includes technical talks, workshops, and demonstrations on the capabilities of oneAPI tools. Renowned experts will discuss the latest AI and oneAPI technologies, tools, trends, and techniques.
oneAPI DevSummit for HPC & AI, Southeast Asia
Save your FREE spot to attend this year’s first oneAPI DevSummit, SEA 2023 at Bangalore. This hybrid community conference is focused on Technical talks, Lightning talks and Hands-on workshops that highlight the capabilities of the oneAPI tools and motivate you to start building your own oneAPI projects within the community.
oneAPI DevSummit for AI, South Korea 2022
Join us for the oneAPI Developer Summit, focused on AI, oneAPI and SYCL for accelerated computing across xPU architectures. In this virtual conference, you will learn from leading industry and academia speakers innovating new oneAPI solutions for cross-platform, multi-vendor architecture.