OpenMP

What OpenMP does

OpenMP (formally, the OpenMP Architecture Review Board, or ARB) is a nonprofit standards corporation founded in 1997 and headquartered in Beaverton, Oregon. It maintains and evolves the OpenMP API specification, a directive-based, portable parallel-programming model for shared-memory multiprocessing. The current specification, version 6.0 (released November 2024), supports C, C++, and Fortran across platforms ranging from embedded devices and desktops to exascale supercomputers, and adds first-class support for GPU and heterogeneous accelerator offloading, task-based parallelism for irregular algorithms, and SIMD vectorization. A Python Language Subcommittee was formed in February 2026, with Python support scheduled for OpenMP 7.0 in 2029; Technical Report 14 (November 2025) previews version 6.1, targeted for release in 2026.

The ARB is funded entirely through membership dues paid by hardware and software vendors, including AMD, Intel, NVIDIA, Oracle, ARM, IBM, and Hewlett Packard Enterprise. The specification, reference guides, and the OpenMP Examples book are distributed free of charge, and the organization operates with a very small paid staff (firmographic data indicates 1–10 employees), drawing on member-company volunteers for governance, language committee work, and officer roles (the CEO is an AMD Principal Member of Technical Staff; the CFO is an AMD Engineering Business Manager). The go-to-market motion is community-led: the annual IWOMP workshop, presence at Supercomputing (SC) and ISC, ECP-sponsored hackathons at DOE national laboratories, webinars, a YouTube channel, and active social channels (LinkedIn, Bluesky, Mastodon) drive developer adoption. End users are HPC developers, GPU/accelerator programmers, and the emerging AI/ML Python community applying OpenMP in physics, automotive/aeronautical simulation, biotech, robotics, automation, and financial analysis workloads.

Name

OpenMP

Legal name

OpenMP Architecture Review Board

Website

https://openmp.org

Company type

Private

Founded year

1997

Operating status

Operating

Headcount range

1–10 employees

Short description

OpenMP Architecture Review Board is a nonprofit standards body that maintains the OpenMP API specification for portable, directive-based parallel programming in C, C++, and Fortran, used by HPC, GPU, and scientific computing developers worldwide and funded by hardware and software vendor members.

Ownership category

akta.pro rank

Product category

Parallel Programming Standards

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

GraphQL, gRPC & Modern API Protocols (BPAMAOAK)

Keywords

• Parallel programming API
• Shared-memory parallelism
• Directive-based programming
• HPC compiler standards
• Accelerator offloading

Headquarters

HQ city

Beaverton

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Operations

Revenue model

1. Membership Dues: OpenMP ARB is funded through membership dues from participating organizations including hardware vendors (AMD, Intel, NVIDIA, Oracle) and software companies. The organization is a non-profit standards body.

Pricing tiers

Go-to-market motion1 record

Distribution channels4 records

Marketing channels9 records

Core offering

OpenMP (Open Multi-Processing) is an API specification that supports multi-platform shared-memory parallel programming in C, C++, and Fortran, with Python support planned in version 7.0. The OpenMP Architecture Review Board (ARB) develops and maintains the specification, which provides a portable, scalable model with directive-based syntax for developing parallel applications across platforms ranging from embedded devices and multicore CPUs to GPUs, accelerators, and exascale supercomputers.

Product overview

OpenMP is an API specification that standardizes high-level, directive-based, multi-language parallelism that is performant, productive, and portable. Jointly defined by major hardware and software vendors and research organizations, the OpenMP API provides a portable, scalable model for developing parallel applications for platforms including embedded systems, accelerator devices, multicore and shared-memory systems, artificial intelligence systems, and more. The core product is the OpenMP API Specification (currently at version 6.0), supported by companion resources including the OpenMP Examples Book, Reference Guides, Compilers and Tools, and the annual IWOMP workshop. The specification currently supports C/C++ and Fortran, with Python planned as the fourth supported language in version 7.0 (2029).

Differentiator

Problem solved

Functional benefit

Products and services

• OpenMP 6.0 API Specification Version 6.0 of the OpenMP API specification, released November 2024, providing directive-based parallel programming support in C/C++ and Fortran with simplified task programming, enhanced GPU/accelerator device support, loop transformations, and compatibility with the latest language standards. Targeted at HPC developers, scientific computing researchers, and GPU programmers.
• OpenMP API Specification The umbrella OpenMP API specification supporting multi-platform shared-memory parallel programming in C/C++ and Fortran, providing a portable, scalable model with a simple and flexible interface for developing parallel applications from desktop to supercomputer.
• OpenMP Examples Book A free downloadable resource explaining OpenMP directive syntax with programming examples covering parallel execution, affinity, tasking, SIMD, and synchronization. Available for every version of the OpenMP API starting with 4.0.1. Aimed at developers learning the OpenMP API.
• OpenMP Reference Guides Free downloadable reference guides and documentation to help users learn and use the OpenMP API for their projects. Aimed at developers working on OpenMP-enabled parallel applications.
• OpenMP TR14 (Technical Report 14) Technical Report 14 providing a preview of OpenMP API 6.1. Distributed as a public technical report from the OpenMP ARB.

Quantifiable outcome

• One of the most used APIs in HPC - standard since 1997 with continuous evolution through version 6.0
• +1 more outcomes

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Feature5 records

Partnerships

One partnership is on record.

• AnacondacoreStrategic or Co-development Partner · 4 February 2026Anaconda, a leading Python infrastructure company trusted by 50 million users and 95% of the Fortune 500, has joined the OpenMP ARB as its newest member. Anaconda will contribute technical leadership to the Python Language Subcommittee working on adding Python support to OpenMP API version 7.0, planned for 2029. This partnership brings deep expertise in Python performance optimization and compiler technology to the OpenMP ecosystem.

Scale indicators4 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Khronos Group: Khronos Group is a nonprofit standards consortium maintaining OpenCL, SYCL, and Vulkan — directly comparable compute and GPU programming standards to OpenMP. Both organizations are governed by member companies (AMD, Intel, NVIDIA, ARM) and produce royalty-free specifications adopted across HPC and embedded systems.
• MPI Forum: MPI Forum governs the Message Passing Interface standard, the dominant distributed-memory parallel programming standard in HPC. MPI is frequently used together with OpenMP for hybrid (distributed + shared memory) programming — making it both a complement and the closest parallel-programming-standards peer.
• OpenACC: OpenACC is a parallel programming standard for accelerator offloading, directly comparable to OpenMP's target directives. Both are directive-based APIs for heterogeneous computing, and both share governance overlap (Cray, NVIDIA, AMD involvement). OpenACC is the most direct parallel programming standard peer to OpenMP.

Broad incumbents

• IEEE Computer Society: IEEE Computer Society is an established computing professional organization that publishes many standards, conferences, and educational resources in parallel computing. Comparable as a broad computing standards body, though with much wider scope than OpenMP's parallel-programming focus.
• RISC-V International: RISC-V International is the nonprofit governing the RISC-V open hardware ISA — a major modern standards body in computing with member-driven governance. While the domain is hardware (vs. software parallelism), its operating model and ecosystem role closely resemble OpenMP's.

Others

• Eclipse Foundation: Eclipse Foundation is a nonprofit that hosts parallel computing and scientific projects (e.g., Eclipse Parallel Tools Platform, Eclipse Adoptium). Comparable as an open-source foundation enabling HPC tooling with member governance.
• Apache Software Foundation: Apache Software Foundation is a nonprofit steward of widely-used open-source standards and projects (including Arrow, used heavily in HPC and data systems). Comparable as a member-governed, community-led standards organization spanning compute and data infrastructure domains.
• Linux Foundation: Linux Foundation hosts major HPC and standards projects (including OpenSSF, Hyperledger, and many cloud-native projects). Comparable as a broad nonprofit umbrella organization supporting open infrastructure standards with member-driven governance.
• NumFOCUS: NumFOCUS is a nonprofit that supports scientific computing open-source projects (NumPy, pandas, Jupyter, scikit-learn). It is comparable as a community-led, member-funded standards/foundation organization supporting computational Python — the very community OpenMP 7.0 targets for Python parallelism.
• LLVM Foundation: LLVM Foundation hosts the LLVM/Clang compiler infrastructure that implements OpenMP support for multiple languages. It is an adjacent technology foundation — comparable as a nonprofit, member-funded open-source infrastructure organization supporting compiler runtimes that depend on OpenMP.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xx.com/OpenMP_ARB
• GitHubgithub.com/OpenMP/Examples
• Facebookfacebook.com/OpenMPARB
• LinkedInlinkedin.com/groups/1142357

Revenue estimate

Valuation estimate

Number of profiles

Profiles11 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about OpenMP