Showing 3 open source projects for "external"

View related business solutions
  • Try Google Cloud Risk-Free With $300 in Credit Icon
    Try Google Cloud Risk-Free With $300 in Credit

    No hidden charges. No surprise bills. Cancel anytime.

    Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
    Start Free
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • 1
    test-tlb

    test-tlb

    Stupid memory latency and TLB tester

    ...The code is useful for teaching, hardware bring-up, or validating assumptions about huge pages and NUMA placement. Rather than providing a plotting framework, it prints timings that you can collect and graph with external tools to visualize cache/TLB boundaries.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    CxxTestNg is a JUnit/CppUnit/xUnit-like framework for C/C++. It does not require RTTI, exception handling, or any external libraries. It is only a set of header files (and a python script) that are easy to integrate into an existing project.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3

    Alchemist plugin

    Alchemist GCC/LLVM plugin for code analysis and tuning

    News: since 2015 we continue all related developments within Collective Knowledge Framework: http://github.com/ctuning/ck/wiki Alchemist plugin is a collection of plugins for GCC/LLVM for external and fine-grain code analysis and tuning. It is intended to to extract program properties for machine learning based optimization (see MILEPOST GCC); optimize programs at fine-grain level (such as unrolling, tiling, prefetching, etc); tune default optimization heuristic; gradually decompose program and detect performance or other anomalies; generate benchmarks particularly useful to train ML-based compilers. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB