Skip to main content
AI
  • Get started with AI

    • Red Hat AI

      Accelerate the development and deployment of enterprise AI solutions.

    • AI learning hub

      Explore learning materials and tools, organized by task.

    • AI interactive demos

      Click through scenarios with Red Hat AI, including training LLMs and more.

    • AI/ML learning paths

      Expand your Red Hat OpenShift AI knowledge using these learning resources.

    • AI quickstarts

      Focused AI use cases designed for fast deployment on Red Hat AI platforms.

    • No-cost AI training

      Foundational Red Hat AI training.

  • Featured resources

    • Red Hat OpenShift AI
    • Open source AI for developers
    • AI product application development
    • Open source-powered AI/ML for hybrid cloud
    • AI and Node.js cheat sheet

Red Hat AI Factory with NVIDIA

Red Hat AI Factory with NVIDIA is a co-engineered, enterprise-grade AI solution for building, deploying, and managing AI at scale across hybrid cloud environments.

Learn
  • Self-guided

    • Documentation

      Find answers, get step-by-step guidance, and learn how to use Red Hat products.

    • Learning paths

      Explore curated walkthroughs for common development tasks.

    • Guided learning

      Receive custom learning paths powered by our AI assistant.

    • See all learning
  • Hands-on

    • Developer Sandbox

      Spin up Red Hat's products and technologies without setup or configuration.

    • Interactive labs

      Learn by doing in these hands-on, browser-based experiences.

    • Interactive demos

      Click through product features in these guided tours.

  • Browse by topic

    • AI/ML
    • Automation
    • Java
    • Kubernetes
    • Linux
    • See all topics
  • Training & certifications

    • Courses and exams
    • Certifications
    • Skills assessments
    • Red Hat Academy
    • Learning subscription
    • Explore training
Build
  • Get started

    • Red Hat build of Podman Desktop

      A downloadable, local development hub to experiment with our products and builds.

    • Developer Sandbox

      Spin up Red Hat's products and technologies without setup or configuration.

  • Download products

    • Red Hat Enterprise Linux
    • Red Hat AI
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products
  • Featured

    • Red Hat build of OpenJDK
    • Red Hat JBoss Enterprise Application Platform
    • Red Hat OpenShift Dev Spaces
    • Red Hat Developer Toolset
  • References

    • E-books
    • Documentation
    • Cheat sheets
    • Architecture center
Community
  • Get involved

    • Events
    • Live AI events
    • Red Hat Summit
    • Red Hat Accelerators
    • Community discussions
  • Follow along

    • Articles & blogs
    • Developer newsletter
    • Videos
    • Github
  • Get help

    • Customer service
    • Customer support
    • Regional contacts
    • Find a partner

Join the Red Hat Developer program

Download Red Hat products and project builds, access support documentation, learning content, and more.

ConsoleDocsSupport Search
New For you

Recommended

We'll recommend resources you may like as you browse. Try these suggestions for now.

  • Product downloads
  • Cheat sheets
  • Red Hat Developer learning portal
  • Developer blog
  • E-books
  • Developer Sandbox
Log in

Get more with a Red Hat Developer account

  • Product downloads
  • Console access
  • Event registration
  • Training & trials
Explore more account benefitsLog in or register

A subscription may be required for some services.

Contact us

Red Hat at the ISO C++ Standards Meeting (May 2015): Parallelism and Concurrency

June 16, 2015
Torvald Riegel
Related topics:
Developer tools
Related products:
Developer Toolset

    gnu logoSeveral Red Hat engineers attended the JTC1/SC22/WG21 C++ Standards Committee meetings in May 2015 at Lenexa, Kansas, USA.  This post focuses on the sessions of SG1, the study group on parallelism and concurrency.

    Finishing the Technical Specifications (TSes) was one major point on the agenda of SG1. The Parallelism TS (see this draft) and the Transactional Memory TS (see this draft) have been finalized for publication, and the Concurrency TS and has been made ready for a vote and feedback by the National Bodies. GCC does not yet support those TSes but already has the main functionality required by the Transactional Memory TS through implementing a previous specification of the language constructs for transactions. SG1 is continuing to adding features in those areas, but these will target a version 2 of each of these TSes.

    SG1 continues to spend a significant amount of time on standardizing how parallel or concurrent tasks should be executed, including both the semantics of such executions (e.g., forward progress guarantees) and means for programmers to customize when and where computations are performed. There are several proposals in this area, some addressing different aspects and some competing with each other. It's not clear yet which parts of these proposals will end up in a future TS, but SG1 is moving forward on this.

    One feature that SG1 wants to see in a version 2 of the Parallelism TS, pending approval by other working groups in the full C++ committee, are the forward progress definitions and requirements that I proposed.

    Thread-local storage remains a difficult topic. As it is specified today, it can be costly to support on some implementations (e.g., GPUs with large numbers of hardware threads) -- but it is also used in lots of existing code, for different purposes. SG1 discussed different TLS use cases, and it seems best to tackle them differently (e.g., errno vs. caching scratch space).

    Support for SIMD operations and data types using library interfaces was discussed again. There was some progress regarding how to enable ABI stability, but we might end up having to also support types that are not meant to provide a stable ABI so as to exploit hardware differences automatically.

    Other topics that SG1 discussed were a proposal about how to enable atomic access to data that is not of an atomic type, and compiler optimizations of atomic accesses.

    Read the related article about C++ Standards:  Core.

    We're always interested to hear what matters to Red Hat Enterprise Linux developers, so if you have comments or questions on any aspects of the upcoming C++ standards - in the concurrency area, or otherwise - please feel free to get in touch with us at rheldevelop AT redhat DOT com or Tweet @RHELdevelop.

    Last updated: April 6, 2018

    Recent Posts

    • Run Red Hat Enterprise Linux CoreOS on NVIDIA BlueField DPUs

    • Agent harness engineering: Separating model capabilities from enforcement

    • What's new for developers in Red Hat Enterprise Linux 10.3 and 9.9

    • Control multicluster costs with right-sizing in Red Hat Advanced Cluster Management 5

    • Lightbits is now certified for Red Hat OpenStack Services on OpenShift

    Red Hat Developers logo

    Platforms

    • Red Hat AI
    • Red Hat Enterprise Linux
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Build

    • Developer Sandbox
    • Developer tools
    • Interactive tutorials
    • API catalog

    Quicklinks

    • Learning resources
    • E-books
    • Cheat sheets
    • Blog
    • Events
    • Newsletter

    Communicate

    • About us
    • Contact sales
    • Find a partner
    • Report a website issue
    • Site status dashboard
    • Report a security problem

    Red Hat Developer

    Build here. Go anywhere.

    We serve the builders. The problem solvers who create careers with code.

    Join us if you’re a developer, software engineer, web designer, front-end designer, UX designer, computer scientist, architect, tester, product manager, project manager or team lead.

    Sign me up

    Red Hat legal and privacy links

    • About Red Hat
    • Jobs
    • Events
    • Locations
    • Contact Red Hat
    • Red Hat Blog
    • Inclusion at Red Hat
    • Cool Stuff Store
    • Red Hat Summit
    © 2026 Red Hat

    Red Hat legal and privacy links

    • Privacy statement
    • Terms of use
    • All policies and guidelines
    • Digital accessibility
    Ask AI