Showing 5 open source projects for "parallel computing"

View related business solutions
  • Jscrambler: Pioneering Client-Side Protection Platform Icon
    Jscrambler: Pioneering Client-Side Protection Platform

    Jscrambler offers an exclusive blend of cutting-edge first-party JavaScript obfuscation and state-of-the-art third-party tag protection.

    Jscrambler is the leader in Client-Side Protection and Compliance. We were the first to merge advanced polymorphic JavaScript obfuscation with fine-grained third-party tag protection in a unified Client-Side Protection and Compliance Platform. Our integrated solution ensures a robust defense against current and emerging client-side cyber threats, data leaks, and IP theft, empowering software development and digital teams to innovate securely. With Jscrambler, businesses adopt a unified, future-proof client-side security policy all while achieving compliance with emerging security standards including PCI DSS v4.0. Trusted by digital leaders worldwide, Jscrambler gives businesses the freedom to innovate securely.
    Learn More
  • Professional Streaming and Video Hosting - GDPR Compliant - 3Q Icon
    Professional Streaming and Video Hosting - GDPR Compliant - 3Q

    Secure hosting, scalable streaming, and easy integration for internal and external communications

    3Q offers a multifunctional video platform for hosting, managing and distributing video and audio content on all channels. Live and on-demand.
    Learn More
  • 1
    Chapel

    Chapel

    a Productive Parallel Programming Language

    Chapel is an emerging parallel programming language whose design and development are being led by HPE in collaboration with academia, computing labs, and industry. Chapel's goal is to improve the productivity of parallel programmers, from laptops to supercomputers. **Please note that Chapel development has moved to GitHub**
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Tsunami Programming Language
    Tsunami is an open-source high performance computing language. With it you can write streaming data-parallel algorithms that utilize GPGPUs for orders-of-magnitude speed-up with the ease of writing sequential algorithms.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    DKU is an embedded parallel language, or "piggy-back" language that uses function calls to invoke the language's execution model. It tunes task-size to the hardware while hiding hardware details for high performance portability of parallel code.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    LIME (Less-is-More) is parallel/concurrent programming environment based on C. Internally, it uses XML technology to describe tasks and their dependencies. Externally, it offers the ANSI C99 programming as well as a set of visually-oriented interfaces.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Self-hosted n8n: No-code AI workflows Icon
    Self-hosted n8n: No-code AI workflows

    Connect workflows. Integrate data

    A free-to-use workflow automation tool, n8n lets you connect all your apps and data in one customizable, no-code platform. Design workflows and process data from a simple, unified dashboard.
    Learn More
  • 5
    The CodeTime platform covers every aspect of parallel software from authoring, through distribution, to run-time. Its goals are: high programmer productivity; write once, run high performance anywhere; and wide acceptance.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB