Showing 2 open source projects for "multi-thread cpu"

View related business solutions
  • Get full visibility and control over your tasks and projects with Wrike. Icon
    Get full visibility and control over your tasks and projects with Wrike.

    A cloud-based collaboration, work management, and project management software

    Wrike offers world-class features that empower cross-functional, distributed, or growing teams take their projects from the initial request stage all the way to tracking work progress and reporting results.
    Learn More
  • SalesTarget.ai | AI-Powered Lead Generation, Email Outreach, and CRM Icon
    SalesTarget.ai | AI-Powered Lead Generation, Email Outreach, and CRM

    SalesTarget.ai streamlines your sales process, providing everything you need to find high- quality leads, automate outreach, and close deals faster

    SalesTarget is ideal for B2B sales teams, startup founders, and marketing professionals looking to streamline lead generation and outreach. It also benefits growing SaaS companies and agencies aiming to scale their outbound efforts efficiently.
    Learn More
  • 1
    hashcat

    hashcat

    World's fastest and most advanced password recovery utility

    hashcat is the world's fastest and most advanced password recovery utility, supporting five unique modes of attack for over 300 highly-optimized hashing algorithms. hashcat currently supports CPUs, GPUs, and other hardware accelerators on Linux, Windows, and macOS, and has facilities to help enable distributed password cracking. Download the latest release and unpack it in the desired location. Please remember to use 7z x when unpacking the archive from the command line to ensure full file...
    Downloads: 130 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
MongoDB Logo MongoDB