Showing 2 open source projects for "parallel computing"

View related business solutions
  • Securely stream and govern industrial data to power intelligent operations with agentic insights. Icon
    Securely stream and govern industrial data to power intelligent operations with agentic insights.

    For IoT Developers, Solution Architects, Technical Architects, CTOs, OT/IT Engineers

    Trusted MQTT Platform — Fully-managed and cloud-native MQTT platform for bi-directional IoT data movement.
    Learn More
  • Planview is the leading end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Development (DPD) Icon
    Planview is the leading end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Development (DPD)

    Manage project and product portfolios enterprise-wide

    Planview AdaptiveWork (formerly Clarizen) with embedded AI helps you proactively plan and deliver any type and size of portfolio, project, and work. Gain AI-enhanced visibility and insights, drive collaboration, and achieve better business outcomes across your organization.
    Learn More
  • 1
    ArrayFire

    ArrayFire

    ArrayFire, a general purpose GPU library

    ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if you're interested and able to write top performing tensor functions. ...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    YOLO ROS

    YOLO ROS

    YOLO ROS: Real-Time Object Detection for ROS

    ...Darknet on the CPU is fast (approximately 1.5 seconds on an Intel Core i7-6700HQ CPU @ 2.60GHz × 8) but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. The CMakeLists.txt file automatically detects if you have CUDA installed or not. CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB