Showing 2 open source projects for "regular multi"

View related business solutions
  • Fully Managed MySQL, PostgreSQL, and SQL Server Icon
    Fully Managed MySQL, PostgreSQL, and SQL Server

    Automatic backups, patching, replication, and failover. Focus on your app, not your database.

    Cloud SQL handles your database ops end to end, so you can focus on your app.
    Start Free
  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
    Start Free
  • 1
    Anti-Spam SMTP Proxy Server

    Anti-Spam SMTP Proxy Server

    Anti-Spam SMTP Proxy Server implements multiple spam filters

    The Anti-Spam SMTP Proxy (ASSP) Server project aims to create an open source platform-independent SMTP Proxy server which implements auto-whitelists, self learning Hidden-Markov-Model and/or Bayesian, Greylisting, DNSBL, DNSWL, URIBL, SPF, SRS, Backscatter, Virus scanning, attachment blocking, Senderbase and multiple other filter methods. Click 'Files' to download the professional version 2.8.1 build 24261. A linux(ubuntu 20.04 LTS) and a freeBSD 12.2 based ready to run OVA of ASSP V2 are...
    Leader badge
    4.7 out of 5 stars 117 Reviews
    Downloads: 34,359 This Week
    Last Update:
    See Project
  • 2

    gxLibrary : C++ (CUDA+AMP+CPU)

    C++ library for easy simulations on any CUDA/AMP/CPU or remote PC

    Helps to program ( in C++) simulations or long-running calculations with many iterations. Easily write C++ code that is same as single-threaded ( or shorter and simpler) , and gxLibrary will compile and run that code as massive multi-threaded on any available GPU (CUDA/AMP) or CPU, either on local or remote PC. Write code functions once, just like they would be written for regular single-threaded cases - no need to write separate code for CUDA or AMP or CPU, or to modify code for parallel execution. No need for *any* knowledge about CUDA or AMP or even CPU multi-threading. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next